Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
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This achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
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We are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
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Thank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
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As such, many people seek reproductive care with the goal of receiving a proper diagnosis and a successful outcome using assisted reproductive technology (ART). Infertility: Assisted Methods of Reproduction and Hormonal Assays provides an overview of ART methods and discusses recent trends in the field. Chapters cover an array of topics including diagnosis of infertility using hormonal assays, adverse outcomes of ART, oocyte donation, cryopreservation of oocytes and embryos and psychosocial care.",isbn:"978-1-83881-136-5",printIsbn:"978-1-83881-135-8",pdfIsbn:"978-1-83881-137-2",doi:"10.5772/intechopen.73962",price:100,priceEur:109,priceUsd:129,slug:"infertility-assisted-reproductive-technologies-and-hormone-assays",numberOfPages:90,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:"6db6e4ccb7088f17f819121f7eb6424d",bookSignature:"Dhastagir Sultan Sheriff",publishedDate:"July 17th 2019",coverURL:"https://cdn.intechopen.com/books/images_new/7163.jpg",numberOfDownloads:5278,numberOfWosCitations:1,numberOfCrossrefCitations:3,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:6,numberOfDimensionsCitationsByBook:1,hasAltmetrics:0,numberOfTotalCitations:10,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 10th 2018",dateEndSecondStepPublish:"July 6th 2018",dateEndThirdStepPublish:"September 4th 2018",dateEndFourthStepPublish:"November 23rd 2018",dateEndFifthStepPublish:"January 22nd 2019",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"167875",title:"Dr.",name:"Dhastagir Sultan",middleName:null,surname:"Sheriff",slug:"dhastagir-sultan-sheriff",fullName:"Dhastagir Sultan Sheriff",profilePictureURL:"https://mts.intechopen.com/storage/users/167875/images/system/167875.jpg",biography:"Dhastagir Sultan Sheriff is a life member of the European Society for Human Reproduction and Early Human Development, Association of Physiologists and Pharmacologists of India, member of the National Academy of Medical Sciences, New Delhi, and resource person for UNESCO for Medical and Bioethics. Dr. Sheriff has authored five books including a textbook on medical biochemistry with additional interest in human sexology. He had editorials written in the British Journal of Sexology, Journal of Royal Society of Medicine, Postgraduate Medicine, and Scientist. He was a former Rotarian, Citizen Ambassador, and was selected for the Ford Foundation Fellowship.",institutionString:"University of Benghazi",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"University of Benghazi",institutionURL:null,country:{name:"Libya"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1069",title:"Reproductive Endocrinology and Infertility",slug:"obstetrics-and-gynecology-reproductive-endocrinology-and-infertility"}],chapters:[{id:"65215",title:"Infertility, Assisted Methods of Reproduction and Hormonal Assays",doi:"10.5772/intechopen.83748",slug:"infertility-assisted-methods-of-reproduction-and-hormonal-assays",totalDownloads:1163,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Infertility is a major public health concern in developing and developed nations. In certain societies, infertility carries a social stigma and is one of the key factors for breakup of families. The revolution created by assisted reproductive technologies (AIR) in infertility treatment has given hope to childless couples to have children. The quality of diagnosis plays an important role in helping to deliver proper therapy to such couples. Therefore, judicious use of diagnostic tests and its interpretation play a vital role in infertility treatment. The presence of andrologists and gynecologists has helped to identify and guide the patient to take proper treatment for their childlessness. Hormonal assays, its interpretation followed by hormonal stimulation, retrieval of healthy follicle, in vitro fertilization, implantation and growth of embryos require a team of experts to co-ordinate, advocate and advance the treatment to the patient. The promising field of stem cell therapy and storage banks of sperm, oocytes and embryos have opened new avenues of treatment and galvanized the field of reproduction. Therefore, books related to these aspects will help review, relate and redeem the field of infertility treatment. The ethical concerns of AIR will allow for introspection of the existing dilemmas and psychological concerns of the patient.",signatures:"Dhastagir Sultan Sheriff",downloadPdfUrl:"/chapter/pdf-download/65215",previewPdfUrl:"/chapter/pdf-preview/65215",authors:[{id:"167875",title:"Dr.",name:"Dhastagir Sultan",surname:"Sheriff",slug:"dhastagir-sultan-sheriff",fullName:"Dhastagir Sultan Sheriff"}],corrections:null},{id:"63784",title:"Medically Assisted Reproduction and the Risk of Adverse Perinatal Outcomes",doi:"10.5772/intechopen.81337",slug:"medically-assisted-reproduction-and-the-risk-of-adverse-perinatal-outcomes",totalDownloads:861,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Over 5 million children have been born through in vitro fertilization (IVF) across the world. IVF is only one of the many methods of assisted reproduction, which can be used to achieve pregnancy in the context of infertility or subfertility. Since the birth of the first IVF child, Louise Brown, in 1978, a number of researchers have started to study the various impacts of the conception through these methods, on both mothers and children. A growing body of evidence suggests that conception through medically assisted reproduction (MAR) is not without risk. Given that MAR is relatively new and that our look back period is short, there is limited evidence on the risks associated to these procedures, both for the mother and the child. In this chapter, we aim to explore the association between MARs and adverse perinatal outcomes specifically. We will first provide you with an overview of the prevalence and trends of use of these methods around the world, and then delve into the associations between MARs and the risk of perinatal outcomes, namely prematurity, being born with low birth weight and/or small for gestational age, and lastly the impact of MARs on cognitive functions including cerebral palsy, behavioral problems, and autism, which are identified later in the child’s life.",signatures:"Jessica Gorgui and Anick Bérard",downloadPdfUrl:"/chapter/pdf-download/63784",previewPdfUrl:"/chapter/pdf-preview/63784",authors:[{id:"55191",title:"Dr.",name:"Anick",surname:"Bérard",slug:"anick-berard",fullName:"Anick Bérard"},{id:"259161",title:"Ph.D. Student",name:"Jessica",surname:"Gorgui",slug:"jessica-gorgui",fullName:"Jessica Gorgui"}],corrections:null},{id:"67834",title:"Oocyte Donation",doi:"10.5772/intechopen.83033",slug:"oocyte-donation",totalDownloads:641,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Oocyte donations are ethical, social, religious, physiological, and medical problems. The medical risks of oocyte donation are not adequately addressed. The risks of oocyte donation require careful examination of the treatment of oocyte donors during the donation process. There are some long-term risks and various side effects such as pain, infection, oocyte retention, bleeding, premenstrual syndrome-like symptoms, ovarian hyperstimulation syndrome (OHSS), and the risk of ovarian cancer related to the drugs used by the donor. Treatment with oocyte donation is one of the situations in which the most common methods of assisted reproduction are discussed. There are many differences in moral, ethical, and religious issues in society. The use of donor eggs, sperm, or embryos is a social or cultural problem rather than a medical problem. For this reason, legal regulations on oocyte donation are carried out in line with cultural beliefs and public opinion about the procedure; individuals are free to use legal procedures according to their values. However, the fact that it is prohibited in some communities can push the illegal paths by obstructing the ones who want to use it.",signatures:"Mehmet Musa Aslan",downloadPdfUrl:"/chapter/pdf-download/67834",previewPdfUrl:"/chapter/pdf-preview/67834",authors:[{id:"258454",title:"Dr.",name:"Mehmet",surname:"Aslan",slug:"mehmet-aslan",fullName:"Mehmet Aslan"}],corrections:null},{id:"64778",title:"Cryopreservation of Oocytes and Embryos: Current Status and Opportunities",doi:"10.5772/intechopen.81653",slug:"cryopreservation-of-oocytes-and-embryos-current-status-and-opportunities",totalDownloads:1013,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:"The biochemical and metabolic activities of living cells are virtually stopped at ultralow temperature and they enter into a suspended state of animation. However, as such, exposure of living cells to ultralow temperature is associated with complex changes that reduce their survivability following freeze-thawing. Cryopreservation is the method for preserving living cells at ultralow temperature at genetically and physiologically stabilized state. Cryopreservation of oocytes and embryos is an integral part of the assisted reproductive technologies with many potential applications. Cryobanking of oocytes and embryos derived from genetically superior animals is promising for enhancing the outcome of planned breeding programs and conserving biodiversity of endangered animal species. Cryobanking can also ensure steady supply of oocytes and embryos for many downstream applications of assisted reproduction such as in vitro embryo production, embryo transfer, production of stem cells, and genetic engineering. Tremendous advancements have been made in this field over the past 5 decades and several methods have been demonstrated for cryopreserving oocytes and embryos in different species. This chapter focuses on the fundamental aspects of oocyte and embryo cryopreservation.",signatures:"Arindam Dhali, Atul P. Kolte, Ashish Mishra, Sudhir C. 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Infertility triggers a range of physical, psychological, social, emotional, and financial effects. Although it is not a life-threatening problem, infertility is yet experienced as a stressful life event for couples or individuals due to the exalted value attributed to having a child by individuals themselves or society in general. Infertile couples are not facing a medical condition alone but coping with a number of emotional states as well. Emotions, thoughts, and beliefs of infertile couples frequently change as one consequence of infertility diagnosis. Exposed to a tremendous social pressure, infertile couples may resort to hiding the problem due to the extreme privacy of the matter. Infertility also affects marriage life adversely.",signatures:"Cicek Hocaoglu",downloadPdfUrl:"/chapter/pdf-download/63247",previewPdfUrl:"/chapter/pdf-preview/63247",authors:[{id:"28322",title:"Prof.",name:"Cicek",surname:"Hocaoglu",slug:"cicek-hocaoglu",fullName:"Cicek Hocaoglu"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"6934",title:"Psycho-Social Aspects of Human Sexuality and Ethics",subtitle:null,isOpenForSubmission:!1,hash:"44731b106aa0d1ab5c64a7394483c7d5",slug:"psycho-social-aspects-of-human-sexuality-and-ethics",bookSignature:"Dhastagir Sultan Sheriff",coverURL:"https://cdn.intechopen.com/books/images_new/6934.jpg",editedByType:"Edited by",editors:[{id:"167875",title:"Dr.",name:"Dhastagir Sultan",surname:"Sheriff",slug:"dhastagir-sultan-sheriff",fullName:"Dhastagir Sultan Sheriff"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2575",title:"Prolactin",subtitle:null,isOpenForSubmission:!1,hash:"338ea99a4e29b28d7463a976a301711b",slug:"prolactin",bookSignature:"György M. 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\r\n\tThe word "crisis" can show up anywhere, anytime - it can be an acute urgency or a long-term response; it can happen at an individual level to a global scale. It is an interdisciplinary word that takes into account geographical, demographical, religious, social, and climate differences, and, by how it is managed, consequently, can have a difference in its results. We have seen how seemingly far-away issues became "my problem" in the past.
\r\n
\r\n\tThe Subprime Mortgage Crisis affected a credit crash in the international financial market. The Fukushima nuclear power plant accident threatened health problems of the Asian countries, while the radioactivity problem remains an international crisis. The Syrian Civil War, from the country's internal economic recession, job disruptions, poor harvests affected by climate change, has raised a large refugee migration crisis. The COVID-19 pandemic has forced our community, from our small family group to a global scale, to adapt to unprecedented events to the continuing instability, anxiety, and uncertainty in our lives. There is a potential crisis with personal information or identity due to the misuse or insecurity of the data management. At the core of all, these seemingly unrelated types of crises are the resultant risk and burden of consequences that can affect all individuals.
\r\n
\r\n\t \r\n\tThe purpose of this book is to provide the readers with an understanding of the characteristics of the crisis itself, recognize the wide range and multi-layer of the crisis from a real situation, give ideas on how to minimize the damage, and find ways to increase resilience in the future. To adapt to the rapidly and diversely changing world, the necessary experience and appropriate management for all kinds of crisis issues will be discussed as well. At the same time, it is intended to suggest elements such as verified scientific and empirical knowledge and applicable technologies; more effective risk management operation; modeling of the risks, manuals, management plans, and strategies. \r\n\t
",isbn:"978-1-80356-492-0",printIsbn:"978-1-80356-491-3",pdfIsbn:"978-1-80356-493-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"89fd49a084aea68bc39838042bdfce66",bookSignature:"Ph.D. Carine J. Yi",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11439.jpg",keywords:"Real-World Applications, Rebuild Strategies, Emergency Management, Risk Management, Advanced Technology, Statistics, Models, System Errors, Empirical Application, Governance, Safety, Risk Reduction, Resilience, Social Vulnerability, Sustainable Well-Being",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 4th 2022",dateEndSecondStepPublish:"April 1st 2022",dateEndThirdStepPublish:"May 31st 2022",dateEndFourthStepPublish:"August 19th 2022",dateEndFifthStepPublish:"October 18th 2022",remainingDaysToSecondStep:"2 months",secondStepPassed:!0,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"An experienced researcher in disaster risk management, formerly affiliated with Tohoku University, awarded her Ph.D. for the University of Tsukuba. 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\n
1. Introduction
\n
The growing demand for food and the limitation of territorial expansion of agricultural areas direct agriculture toward an increasing intensification with the rational use of resources and maximization of production [1]. For 2050, the world population is estimated at 9 billion people; this represents a need for an increase in food production around 70 to 100% that can be achieved if more efficient cultivation techniques are adopted with fewer impacts on the environment [2]. For this to be possible, it is necessary to have knowledge and control of the variables that interfere in the costs of production and productivity of crops. In this sense, precision agriculture is a tool that makes it possible to meet these needs.
\n
Precision agriculture comprises a set of technologies that combines sensors, information systems, improved machinery, and informed management to optimize production, considering variability and uncertainties in agricultural systems [3]. This modern agriculture starts from the concept that an area of production is not homogeneous, that is, it has great variation. Thus, it is not appropriate to use agricultural inputs and management techniques equally for areas that have different characteristics. The aggregated knowledge throughout history helps to scientifically explain the variability observed and offers paths to localized management with more technique and rigor [4].
\n
This new approach mainly benefits from the emergence and convergence of various technologies, including the global positioning system (GPS), geographic information system (GIS), microcomputers, control automation, remote sensing, mobile computing, advanced information processing, and telecommunications [5]. With these technologies, it is possible to analyze spatial variability, through data collection, information management, application of inputs at varying rate, and, finally, the economic and environmental evaluation of the results [6].
\n
Precision agriculture allowed to perform not only the mapping of the physicochemical properties of the soil, application of fertilizers in a localized way, pest monitoring, harvesting and post-harvest operations, among others [3] but also the mapping and control of weeds, with localized sprays through mapping equipment or real-time systems and thus rationalize the use of pesticides and also minimize damage to the environment. Thus, the objective of this chapter was to address an overview of the use of herbicides in variable rate application (VRA) for weed management in PRE and POST.
\n
\n
\n
2. Variable rate application (VRA) of herbicides
\n
Weed control with herbicides makes up much of the production costs of a crop. In conventional agriculture, herbicide doses are recommended for large areas, without considering many aspects of spatial and temporal variation. When the use of herbicides is made at a fixed rate, economic losses occur directly and indirectly, both due to the above—what is necessary for herbicides and for possible control failures that decrease productivity. In addition, environmental contamination may occur by leaching herbicides into groundwater and rivers. To fix these problems, it is necessary to use the precision agriculture tools and implement a VRA system [7].
\n
VRA refers to the application of herbicides based on area, location, and soil conditions, among other characteristics. Important characteristics such as the variation in infestation and weed density in the application of herbicides in POST and in the sorption capacity that the soil exerts in the application of herbicides in PRE are considered in this system. This allows us to control weeds more efficiently and reduce environmental risks, as there are no applications of underdoses or overdoses. This technology works by integrating a variable rate control system with the sprayer for herbicide application [8, 9].
\n
VRA systems can be different in many ways, but have components in common; the basic system deployment consists of five components that are represented in Figure 1: GPS receiver for location and orientation of the machinery at the time of application, a computer that will perform the data processing, a software capable of relating the data collected in the area and determine the dose to be applied, in addition to controllers that will be responsible for changing the flow and pressure of the spray syrup [7].
\n
Figure 1.
Main components of a variable rate spraying system (spray rate controller, computer and software, GPS receiver, and control valve). Source: adapted from Grisso et al. [7].
\n
The application at a varied rate can be fundamentally based on maps or sensors (Table 1). Such methodologies require specific resources that differ greatly from each other.
\n
\n
\n
\n
\n\n
\n
Parameter
\n
Map based
\n
Sensor based
\n
\n\n\n
\n
Methodology
\n
Grid sampling—lab analyses—site-specific maps and the use of variable rate applicator
\n
Real-time sensors—feedback control measures and the use of variable rate applicator
\n
\n
\n
GPS/DGPS
\n
Very much required
\n
Not necessary
\n
\n
\n
Laboratory analysis (plant and soil)
\n
Required
\n
Not required
\n
\n
\n
Mapping
\n
Required
\n
May not required
\n
\n
\n
Time consumption
\n
More
\n
Less
\n
\n
\n
Limitations
\n
Cost of soil testis and analysis limit the usage
\n
Lack of sufficient sensors for getting crop and soil information
\n
\n
\n
Operation
\n
Difficult
\n
Easy
\n
\n
\n
Skills
\n
Required
\n
Required
\n
\n
\n
Sampling unit
\n
2 to 3 acres
\n
Individual spot
\n
\n
\n
Relevance
\n
Popular in developing countries
\n
Popular in developed countries
\n
\n\n
Table 1.
Comparison of the application in varied rate based on maps and sensors.
Application maps of specific areas are generated by analyzing previous georeferenced samples of soil or plants of the area to be managed. Due to the need to collect many samples to create a representative map of the area, the costs of analysis tend to increase with this method and need more time to get ready. The map-based system is highly dependent on GPS and differential global positioning system (DGPS), as it is necessary to cross-reference the coordinates of the samples collected with the coordinate occupied by the machinery at the time of application. Thus, the operational difficulty of map-based systems is greater.
\n
Although it has some disadvantages referring to operating costs and complexity, the map method is very efficient when used correctly and with accurate equipment. Figure 2 shows a mapping of weed distribution in a given area and correlated with the required amount of herbicide needed to control weeds according to their density. The result of this crossing of information is a varied rate application map. In the area, there were infestations ranging from 0 to >30 plants m−2; so, it is not necessary to apply the same dose at all levels of infestations [11]. Areas with higher infestation will receive more herbicide than areas with low infestation. In the specific case, the volume of syrup varies from 100 to 250 L ha−1, which corresponds to a variation of 150%. If the volume of syrup was kept constant, there would certainly be herbicide wasting due to excess or lack in certain places. In the example of Figure 2, the VRA allowed uniform yield of the crop that was implanted, reduced environmental impacts, and provided savings of 29% in the amount of herbicide.
\n
Figure 2.
Weed density map (left) and variable rate application (VRA) of herbicide (right). Source: Carrara et al. [11].
\n
\n
\n
2.2 Sensor-based variable rate application (VRA)
\n
Data collection of weed presence and processing in sensor-based VRA are made fractions of seconds before herbicide application, avoiding the need to generate a previous map of the area. Sensor-based systems have the ability to vary application rate without any mapping or prior data collection. Sensors measure in real time the desired properties while they are in motion. The measurements made by the system are processed immediately and sent to the controller who will perform the application at a varied rate.
\n
The use of sensors does not necessarily require the use of a positioning system, map generation, or extensive data analysis before making the VRA. Thus, it is an easier-to-use system, consumes less time, and has greater accuracy when compared to the map-based method. Its current limitation is related to the state of the development of sensors and algorithms with sufficient accuracy to collect and process more detailed information of plants and soil.
\n
In Figure 3, there is an example of this type of method, where an optical sensor along with an infrared light source is implanted in the machinery spray bar. This set will be responsible for identifying weeds in the field by reflecting the green color of the leaves and indicating to the controller which sites will be necessary to carry out herbicide application.
\n
Figure 3.
Acting of an optical sensor in the control of spray nozzles. Source: Grisso et al. [7].
\n
\n
\n
\n
3. Variable rate application (VRA) in preemergence (PRE)
\n
The objective of an herbicide application in preemergency is to manage weeds that have not yet germinated, and the herbicide application is made directly in the soil so that as soon as the seeds/propagules germinate, they can absorb the herbicide. But for this to occur, the herbicide must be bioavailable in the soil solution. The application of herbicides in PRE follows different destinations due to the herbicide-soil interactions regulated by physical, chemical, and biological processes [12].
\n
The efficiency of chemical control is associated with several factors that will determine whether the herbicides will be in the soil solution, thus being absorbed by the vegetables; leached, including groundwater; transported by the process of erosion or runoff; and volatilized [13]. In addition, they can be sorbed by soil colloids, thus becoming unavailable to plants.
\n
The variability of soil properties can cause a differential sorption of herbicides, which, in turn, reflects on the different availability of the herbicide in the soil solution, and may generate variation in weed control [14, 15], especially in large cultivated areas where herbicide application is made in a single dose. Thus, the VRA for herbicides in PRE should obtain the main data related to herbicide retention and availability in the soil solution in order to have the correct deposition of the product.
\n
Herbicide sorption is dependent on the interaction of the molecules of the product with the soil, and the process is influenced by the management and climate, mainly soil temperature and humidity. The main physicochemical characteristics of the soil that affect herbicide sorption are organic matter (OM), texture, pH, and cation exchange capacity (CEC). Regarding the herbicide physicochemical characteristics, water solubility (Sw), acid/base dissociation constant (pKa/pKb), octanol-water coefficient (Kow) half-life degradation time (DT50), and mainly sorption/desorption coefficient (Kd) [10].
\n
Each herbicide will have a type of behavior in different soil classes. Therefore, to perform VRA in PRE, a previous study of sorption and desorption of the herbicide molecule in the soil type of interest is necessary for the VRA to be efficient. Currently, the technique for sorption and desorption studies of herbicides most used and mentioned in the literature is liquid or gas chromatography. The chromatographic technique can identify individual compounds quantitatively and qualitatively even at small concentrations, being very useful to identify herbicide concentrations in a solution. However, sorption and desorption studies can also be performed with radioisotopes (14C and 3H), in addition to bioassay with plant species sensitive to herbicide [16, 17, 18].
\n
Data on soil characteristics are difficult to obtain with sensors in the field; so, most methods for applying herbicides in PRE are based on the generation of maps from laboratory analyses of soil samples. From soil information and herbicide sorption and desorption, a map is interpolated with application information at varying rate [10].
\n
A study of sorption and desorption of the herbicide cyanazine was carried out in different soils (Table 2). From this study, the herbicide application was recommended based on soil texture and OM content. Herbicide doses increase as clay and OM contents increases.
\n
\n
\n
\n
\n
\n
\n
\n
\n\n
\n
Soil texture
\n
Soil organic matter content (%)
\n
\n
\n
<1.0
\n
1.0
\n
2.0
\n
3.0
\n
4.0
\n
≤5.0
\n
\n\n\n
\n
Sand
\n
0.60
\n
0.75
\n
1.25
\n
1.50
\n
1.75
\n
2.00
\n
\n
\n
Sandy loam
\n
0.75
\n
1.25
\n
1.50
\n
1.75
\n
2.00
\n
2.25
\n
\n
\n
Loam, silty loam, silt
\n
1.25
\n
1.50
\n
1.75
\n
2.00
\n
2.25
\n
2.50
\n
\n
\n
Sand clay loam, clay loam, and silty clay loam
\n
1.50
\n
1.75
\n
2.00
\n
2.25
\n
2.50
\n
2.75
\n
\n
\n
Sandy clay, silty clay, and clay
\n
1.75
\n
2.00
\n
2.25
\n
2.50
\n
3.75
\n
3.00
\n
\n
\n
Peat or muck
\n
Not recommended
\n
\n\n
Table 2.
Recommendation of doses of cyanazine (L ha−1) according to the texture and organic matter content of the soil.
Thus, for the application of PRE, herbicide is necessary to analyze the soil’s physicochemical properties to interpolate the VRA map. Figure 4 contains the VRA map in which the different colors represent doses of herbicide to be applied. In this study [15], the use of VRA in PRE decreased the total amount of herbicide by 13%. In addition to the herbicide economy, it should be considered that other benefits are obtained such as better efficiency in weed control, which can help in an increase in productivity, in addition to reducing environmental risks.
\n
Figure 4.
Two-dimensional (I) and three-dimensional (II) maps for variable rate application (VRA) of cyanazine. Source: Mohammadzamani et al. [15].
\n
Laboratory analyses of soil characteristics are very efficient and accurate. The major disadvantage is the high costs of soil analysis, compromising its use for very large areas. An alternative to map the soil characteristics responsible for herbicide retention and availability without the need for labor collection and analysis is the use of electrical conductivity sensors in the field. The mapping of electrical conductivity with the aid of GPS is a simple tool, which is used to estimate soil texture, in addition to other properties [19]. This quantification considers the clay and ion contents in the soil, resulting in significant correlations [20].
\n
An example of a sensor used to measure electrical conductivity is the VARIS 3100 platform (Figure 5). The operation of the equipment consists in the emission of an electric current by two intermediate discs, while two internal discs and two external discs detect the potential difference, which occurs in the electromagnetic field generated in the soil resulting from the applied electric current [21]. The spacing between the discs is calculated so that values of electrical conductivity are measured at depths of 0–0.30 m and 0–0.90 m. Data obtained in the field can be visualized, recorded, and exported, since the sensor has a data logger. Data collection occurs with moving equipment, coupled to a tractor and the whole process can be georeferenced by a global navigation satellite system (GNSS) receiver. According to the manufacturer’s instructions, two tests must be performed to confirm the correct calibration of the equipment. After data collection, the electrical conductivity is correlated with the clay content for the generation of a textural map.
\n
Figure 5.
Veris Platform® 3100 to measure the electrical conductivity of the soil. ESALQ/USP, Piracicaba, SP, Brazil.
\n
Studies show that the electrical conductivity measured by contact sensor adequately reflects the variation in clay contents of the studied soil, being efficient to generate soil texture maps, including in no-tillage areas [21]. Figure 6 shows a conductivity map elaborated with the data collected in VARIS 3100; the lowest conductivity values correlated with lower clay contents. However, for high clay contents, the model was less efficient. Thus, the mapping of electrical conductivity can be a useful tool in the design of more homogeneous areas, which present more similar soil conditions.
\n
Figure 6.
Interpolated map of electrical conductivity measured with mobile contact measurement equipment. Source: Machado et al. [21].
\n
Considering that other factors such as moisture, salt concentration, and total carbon remain in the same conditions, soils with higher clay contents conduct more electricity than those with sandier texture. However, these factors may vary and affect the correlation between electrical conductivity and soil texture. Therefore, as the electrical conductivity method does not quantify the CEC and soil OM contents, the use of the same may have reduced efficiency in some situations.
\n
There are companies on the market that provide the VRA service for herbicides in PRE, one of which is APagri which has the HTV® method which consists of a process developed and patented for the application of herbicides in PRE at the varied rate based on maps (Figure 7), that considers the clay, OM, and CEC content of the soil [22]. The objective is to adjust the dose according to the soil ability to retain each type of herbicide so that the final concentration in the soil solution is equal regardless of the position in space.
\n
Figure 7.
Variable rate application (VRA) map drawn up with the system HTV®. Source: APagri [22].
\n
Due to technological limitations, there is still no VRA available on the market for PRE herbicides based on sensors that read, process, and apply the herbicide without the need for the generation of maps. One of the great challenges of this market is precisely to eliminate this stage, in view of the costs of generating the maps.
\n
\n
\n
4. Variable rate application (VRA) in postemergence (POST)
\n
The purpose of a POST application is to control weeds that have already emerged in the field. Thus, the target of the application is the aerial part of the plant species. For the VRA to be used in POST, it is necessary that the system has information about the weed population in the area. This information can be collected by the map-based and sensor-based systems. Therefore, both methods can be used VRA in POST.
\n
\n
4.1 Map based: weed mapping
\n
The literature mentions several methodologies for weed mapping, where each one has its specificity. Some have processing algorithms to differentiate monocot and eudicot plants [23]. Others use machine learning with deep neural network to identify weeds [24, 25]. However, all have the principle based on the quantitative and qualitative identification of the infested area, generation of the recommendation map, and integration with the VRA system.
\n
Remote sensing is generally considered one of the most important technologies for precision agriculture. This technology can be used in weed mapping. Remote sensing can monitor many crops and vegetation parameters through images at various wavelengths. Images can be acquired by satellites, manned aircrafts, or unmanned aerial vehicles (UAV). However, satellite imagery is often not the best option because of the low spatial resolution of images acquired and the restrictions of the temporal resolutions as satellites are not always available to capture the necessary images [26]. Considering the use of manned aircrafts, usually it results in high costs, and many times, it is not possible to carry out multiple flights to obtain more than a few crop images. UAVs’ ability to fly at a low altitude results in ultra-high spatial resolution images of the crops (i.e., a few centimeters). This significantly improves the performance of the monitoring systems. Furthermore, UAV-based monitoring systems have high temporal resolution as they can be used at the user’s will. This enhances the flexibility of the image acquisition process [27]. In addition, UAVs are a lot simpler to use and also cheaper than manned aircrafts. Moreover, they are more efficient than the ground systems as they can cover a large field in a short amount of time and in a non-destructive way, which is very important. UAVs can gather images and derive data from the whole field that can be used to generate a precise weed cover map depicting the spots where the herbicide are needed in different rates [28].
\n
A variety of different types of sensors can be used in an agricultural UAV depending on the different vegetation parameters that should be monitored. The main sensors used that meet the limitations mentioned above are: visible light sensors, red, green, and blue (RGB) color model, multispectral sensors, hyperspectral sensors, and thermal sensors. RGB are relatively low cost compared to the other types and can acquire high resolution images, are easy to use and operate, and are lightweight [29]. In addition, the information acquired requires simple processing. However, they are inadequate for analyzing a lot of vegetation parameters that require spectral information in the non-visible spectrum. Thus, commonly are used with the other types of sensors.
\n
Multispectral or hyperspectral imaging sensors can acquire information about the vegetation’s spectral absorption and reflection on several bands. Spectral information can be significantly helpful in assessing a lot of biological and physical characteristics of the plants. This information is important to determinate which weed species are in the field [30]. Multispectral and hyperspectral sensors are frequently used, despite their higher costs. However, a drawback of these sensors arises from the fact that it is required to apply more complex preprocessing methods in order to extract useful information from the captured images. The preprocessing procedure of spectral images often contains the radiometric calibration, geometric correction, image fusion, and image enhancement. The main difference between multispectral and hyperspectral sensors is the number of bands (or channels) that each sensor can capture and the width of the bands. Multispectral sensors capture 5–12 channels, while hyperspectral images can usually capture hundreds or thousands of bands, but in a narrower bandwidth. Multispectral sensors are used much more frequently than hyperspectral sensors due to their lower cost, but hyperspectral technology appears to have a lot of potential and is considered the future trend for crop phenotyping research. Thermal infrared sensors capture information about the temperature of the objects and generate images displaying them based on this information and not their visible properties. This type of sensors is used for very specific applications (irrigation management). As a result, they are not frequently used in remotely piloted aircraft applications of UAV systems that focus on monitoring other characteristics of the crops [26, 27, 28].
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UAVs can acquire information for various features of the cultivated field by using specialized sensors. However, as mentioned above, there is still no standardized workflow or well-established techniques to analyze and visualize the information acquired. The most commonly used image processing methods to analyze UAV imagery for weed mapping are photogrammetry and machine learning. Photogrammetry regards the accurate reconstruction of a scene or an object from several overlapping pictures. Photogrammetric techniques are very commonly used in all types of applications as they are also required to create vegetation indices maps. However, photogrammetric techniques are in most cases used to compliment other types of data processing methods [29].
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Machine learning is used to process the data acquired, for prediction and/or identification purposes, with great results in many domains. Machine learning techniques are often applied in precision agriculture to exploit the information from the large amount of data acquired by the UAVs. Machine learning is able to estimate some parameters regarding the crop growth rate, detect diseases, or even identify/discriminate objects in the images [30].
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The most promising technique for weed mapping is machine learning, especially those based on object-based image analysis (OBIA). Weed detection with UAVs based on object-based image analysis appears to be at an advanced stage and can be used for specific weed management.
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In an example of weed mapping performed on corn, an UAV coupled with a six-band multispectral camera (visible and near infrared range) was used to map the area (Figure 8).
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Figure 8.
Unmanned aerial vehicle (UAV) used for weed mapping. Source: Peña [31].
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After mapping, an OBIA procedure processes the data and generates a classification of weed, crop, and bare soil (Figure 9).
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Figure 9.
Partial view of the outputs of the object-based image analysis (OBIA) procedure: classified image with crop, weeds, and bare soil. Source: Peña [31].
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The identification and delimitation of the weeds allows generating maps showing the infestation level (Figure 10). The information of this map can be integrated into VRA system and used for POST herbicide application. In this study, weed-free areas corresponded to 23% and areas with low infestation (<5% of weeds) to 47% of the total, indicating a high potential to reduce herbicide application [31].
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Figure 10.
Partial view of the outputs of the OBIA procedure: weed coverage map showing three levels of infestation (low, moderate, and high), crop rows, and weed-free zones. Source: Peña [31].
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When data collection and map generation is done for POST herbicide application, the whole process must be done as quickly as possible because in a few days, the weed dynamics can be changed and infestation levels can increase, making the recommendation map obsolete.
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4.2 Sensor based: real time
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When applying POST herbicides using a real-time based sensor method, there is no need of a prior area mapping. Spraying is based on sensors attached to the sprayer responsible for detecting weeds and applying the herbicide dose. In Figure 11, there is a basic model for this application type.
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Figure 11.
Sensor-based VRA model for POST herbicide application. The system includes a multiple-camera vision system, a ground speed sensor, and nozzle controller. Source: Tian [32].
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In real-time-based sensor method, the optical sensor collects data that are immediately processed by the computer, where the locations and doses to be applied are determined. This information is sent as a command to a nozzle controller. In the spray boom, each nozzle is opened or closed by a solenoid valve connected to the controller, so that the nozzle controller can vary the flow applied or the total opening and closing of each nozzle. The presence of a GPS system is not essential for the operation of system, but it does provide guidance to the machinery operator and is useful for recording sprayed areas. The database can be used to improve weed control in the following years, especially for perennial species that reproduce vegetatively, in view of their stability in spatial distribution [33].
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Depending on the model, the system components can vary in several characteristics. Optical sensors can be multispectral or infrared. The software can be composed from algorithms that can only identify green plants to deep neural networks that have the ability to learn to differentiate weed species. The controller can only open or close a spray nozzle or it can even coordinate the herbicide mixture and control the alternating flow of dozens of nozzles. The variations are huge, and the more research evolves, the greater the accuracy and reliability of the VRA [7, 32, 33].
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Commercially, some companies have consolidated in recent years with VRA systems for application in POST with sensor methods based on real time. Among the most widespread are Weed-it and WeedSeeker.
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4.2.1 WEED-IT
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WEED-IT is a high-performance localized spraying system, formed by chlorophyll detection sensors and extremely fast valves to guarantee application only where necessary (Figure 12). The system is based on the principle of chlorophyll fluorescence: a light source in the set of sensors emits a constant beam of infrared light that is absorbed by the plants chlorophyll and re-emits near infrared light (NIR). This emission is detected by the sensors by performing 40,000 readings per second and capture even the lowest chlorophyll fluorescence emissions activating the nozzle set only on the identified weeds, applying only what is necessary, according to the size of the plant (Figure 13) [34].
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Figure 12.
WEED-IT performing application with weed detection by infrared sensors. Source: SmartSensing [34].
The system can be installed in self-propelled and trailed sprayers, operating at speeds of up to 25 km h−1. In the spray bar, each sensor is responsible for covering 1 m in width and independently activating up to five nozzles with an opening time of 1 ms. Its valves have a system for modulating the width of the energy pulses that generate extremely rapid interruptions in the spray nozzle outlet; the greater the number of interruptions, the lower the applied dose (Figure 14) [34].
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Figure 14.
WEED-IT valve system modulation. Source: SmartSensing [34].
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In curves or maneuvers, the speed on the outside of the bar is greater than the inside; the system is able to correct the flow along the bar to apply equal amounts of herbicide even in curves or with speed variations (Figure 15).
The system has an important limitation. As the sensor is based only on the chlorophyll fluorescence, the system is not able to differentiate the crop and weeds, both are interpreted as living plants. Therefore, it is necessary to be careful with the application of nonselective herbicides in POST, as the crop will certainly be sprayed together with weeds.
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4.2.2 WeedSeeker
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The WeedSeeker is another widely used commercial system that has the same WEED-IT operate principle, where a sensor emits red and near infrared light and a photodiode detects the intensity of the reflected light (Figure 16). Afterward, the reading is converted into a command to apply or not the herbicide (Figure 17) [35].
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Figure 16.
How a WeedSeeker sensor works. Source: Trimble Agriculture [35].
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Figure 17.
WeedSeeker spray nozzles applying herbicide only to weeds. Source: Trimble Agriculture [35].
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The system can be operated at speeds of 20 km h−1 installed in trailed and self-propelled sprayers. Nozzles are opened by solenoid valves connected to a central controller. The sensor spacing is 38 cm, and each sensor controls one spray nozzle. Although WEED-IT and WeedSeeker have many similarities, some aspects differentiate the two systems. The WeedSeeker requires a prior calibration of the sensors in order for the system to operate correctly, while the WEED-IT does not require any calibration [35].
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As both systems have own light source, they can perform applications at night. Both are highly efficient systems that fulfill your proposals well. There are few studies that compare two systems. In a study focused on methods of comparing commercial precision spraying technology, the authors compared the efficiency and precision of WEED-IT and WeedSeeker and however, this comparison was only undertaken with a 0.16 ha−1. In this way, WEED-IT can be more efficient for identifying newly emerged plants [35].
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4.3 Robots for variable rate application (VRA) in postemergence (POST)
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Use of autonomous agricultural robots has an interesting potential as a valuable technological tool for precision agriculture, bringing the advantage of being able to make use of the various theories in robotic control, already grounded and consolidated for applications in several other areas [36]. The main characteristic that differentiates an agricultural robot from a simple machine or implement is the freedom degree and autonomy possessed by the robot, including the need for human operation. As agricultural robots must have a high degree of autonomy, tools are necessary so that they can distinguish targets and culture in the field, as well as to orient themselves spatially during movement. The way the distinction is made is through sensors. The main sensors used are GPS real-time kinematic (RTK), cameras, gyroscope, strobe, and proximity [36, 37, 38].
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The recent trend in the development of mobile robots and autonomous vehicles to perform specific tasks is mainly guided by improving efficiency and leading to operating gains (reduces soil compaction, absence of operator) when compared to the use of large machines [39]. Although much smaller than conventional agricultural machines, they can act cooperatively and perform tasks such as spraying pesticides that pose risks to humans [40]. Sprayers coupled to robots can direct spray nozzles to weeds through a computer vision system. Some models use photovoltaic plates to take advantage of solar energy and reduce or eliminate fossil fuel consumption. With all the advantages related to the autonomy and efficiency of agricultural robots, the farmer can direct his time and efforts toward other agricultural activities such as negotiating sales contracts and making investment decisions.
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Robots provide precision spraying, realizing the collection of weed position and incidence information in real time and transmitting them to an atomizer or sprayer that regulates the need for more or less herbicide. Despite having many advantages, the use of robots still has points to be improved, among them are the following:
Low autonomy compared to conventional machinery
Operational limitations in adverse field conditions
State of technological development
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The current limitations present in agricultural robots are being resolved with the evolution of the available technology, since the optimization of sensors and algorithms occurs constantly, while in a few years, these limitations can be overcome. Artificial intelligence used in agricultural robots is a way of recognizing patterns so that the computer can identify weeds, pests, disease symptoms, nutritional deficiency, degree of maturation, and cut-off point in the harvest, among others. In a simplified way, artificial intelligence consists of providing the machine with as many examples of situations and decisions as possible, whether historical or simulated based on existing knowledge, so that when faced with similar circumstances, it can make a decision [37, 38]. There are several examples of robots currently used in VRA, two of which are described below.
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4.3.1 Robot for Intelligent Perception and Precision Application (RIPPA)
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The Robot for Intelligent Perception and Precision Application (RIPPA) is an autonomous system developed by the University of Sydney for detecting weeds and applying herbicides in microdoses (Figure 18) [41].
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Figure 18.
RIPPA robot model. Source: Sukkarieh [42].
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The system has infrared and monochromatic sensors working with neural networks that make it possible to differentiate between crop and weed. In this way, the application and efficiency of the system are much more accurate. Due to its small size and high precision, the system is suitable for smaller areas, such as horticulture. The RIPPA is powered by solar energy through solar panels on the top of the machine. The system also has a sensor for collecting moisture and soil temperature, which makes data collection a little more complete, generating .XLS files so that the producer can create a database with information from his area. Table 3 contains some additional information from RIPPA [41, 42].
With characteristics similar to RIPPA, BoniRob (Figure 19) was developed by the partnership between the companies BOSCH and AMAZONE, in Germany. It is slightly larger than RIPPA, but it is still smaller than a small car and is capable of applying localized pesticides, collecting soil samples, and analyzing to obtain real-time characteristics such as pH and phosphorus levels [43].
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Figure 19.
BoniRob model. Source: Sellmann et al. [44].
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To ensure its operation, BoniRob has a set of cameras and sensors (Figure 20) that work as follows: camera “a” points to the top of the plant with the function of detecting and locating it; camera “b” is positioned to obtain a side view of the plants looking for overlapping plants. In “c,” we have a set of light-emitting diodes (LEDs) that are responsible for emitting red and infrared light to assist the cameras when capturing photos. There is also a third camera, which has a high frame rate and resolution (higher than cameras “a” and “b”) attached to the sensor responsible for spraying. This sensor, to maintain accuracy in capturing images and also during the application of pesticides, has a strobe that allows, even with variations in the terrain, the camera and the spray tip to remain in the desired position [44].
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Figure 20.
BoniRob components. Source: Sellmann et al. [44].
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When it comes to artificial intelligence, based on the culture and species of plants you want to work with and control, machine learning takes place through the developed algorithm and is trained based on obtaining images (millions of them) that allow you to characterize the plants according to their shape, size, and color, among other parameters, allowing them to be recognized and distinguished in the face of a possible action such as spraying it or not [44].
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As mentioned earlier, the versatility of agricultural robots is essential, since in the field, the conditions are highly heterogeneous. For this reason, many of these machines allow the installation of modules that perform different functions. In the case of BoniRob, we have a module for phenotypic recognition, a penetrometer, and a localized spraying mode already developed, but there are numerous other possibilities for adaptation and creation based on the particular characteristics to which the use of the machine is intended [44]. Other models of agricultural robots are being developed and gradually made available on the market. A good example is Ecorobotix (Figure 21), which applies microdoses of herbicide and works completely autonomously. Its use is recommended after an initial standard application of herbicide, in order to replace subsequent applications and thus save an important amount of herbicide [45].
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Figure 21.
Ecorobotix components. (1) Photovoltaic panels, (2) camera and artificial vision for steering and detection, (3) navigation by GPS and sensors, (4) electrical drive system, (5) rapid robotic arms with sprayers, and (6) tanks for two different products. Source: Ecorobotix [45].
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The market robots for herbicide application are still at the beginning of its development and consolidation, but it represents a new way of interacting with agriculture, revolutionizing the relationship between man and the field.
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5. Variable rate controllers
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In order for the VRA to happen efficiently, it is necessary to have a high control in the spraying system responsible for the application of the herbicide. Controllers can act by modifying the pressure at the spray nozzles, or they can change the herbicide concentrations and the water flow in real time. Some of these systems are more complex, while others are simpler. The main controllers will be discussed below.
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5.1 Flow-based control systems
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In flow-based control system, only the flow and pressure are changed. There is no manipulation of the herbicide concentrations. The system has a flow meter, a speed sensor on the ground, and a servovalve with an electronic controller to apply the desired rate of the tank mixture (Figure 22). A microprocessor uses information about the width of the sprayer and the recommendation of the spray volume per hectare to calculate the flow rate appropriate for the current speed of the soil. The servovalve is opened or closed until equal amounts of herbicides are applied regardless of the speed of the machinery. If the controller can be integrated with a recommendation map system, a VRA can be done. These systems have the advantage of being reasonably simple. They are also able to make rate changes across the bar in 3 to 5 seconds [7, 46].
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Figure 22.
VRA spraying system that is a flow-based system of application rate. Source: Grisso et al. [7].
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Depending on the speed, problems with drift can occur, as the flow sensor and servovalve control the flow of the tank mixture, allowing variable pressure rates to be delivered to the spray nozzles. Thus, high speeds can represent an increase in the pressure of the nozzles and a consequent decrease in the droplet spectrum.
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5.2 Chemical direct injection systems
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In this system, the mixture is prepared with direct injection of the chemical in a flow of water. This system (Figure 23) uses a controller and a pump to manage the chemical injection rate instead of the flow rate of a tank mix [46]. The water flow rate is constant and the herbicide injection rate is varied to accommodate changes in soil speed or changes in the prescribed rate.
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Figure 23.
VRA spraying system that incorporates chemical injection technology. Source: Grisso et al. [7].
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With the chemical injection, there is no leftover mixture and the direct contact of the operator with toxic products is reduced [10]. The system allows you to control the desired size and spectrum of droplets, since the variation of the application rate does not depend on the flow and pressure on the spray nozzles. Its main disadvantage is the long transport delay between the chemical injection pump and the discharge nozzles at the ends of the boom.
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5.3 Direct chemical injection with carrier control
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In this system, there is control of the herbicide injection rate and water flow rate to respond to changes in speed or application rate. A control circuit manages the injection pump, while a second controller operates a servovalve to provide a corresponding water flow (Figure 24). Such a system provides a mixture of constant concentration. The system can have many of the advantages of the previous two systems. There is no leftover mixing; the operator is not exposed to chemicals in the tank mixing process; the variation from one rate to another occurs quickly. The disadvantages include related to the complex system, higher initial costs, problem in delivering variable rates of liquid through in the nozzle spray, and modulated spraying nozzle control systems [10, 46].
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Figure 24.
A direct chemical injection system with carrier control. Source: Rashidi and Mohammadzamani [46].
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6. Conclusions
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The variable rate application (VRA) of herbicides has great potential for use in agriculture because it allows better control of weeds at lower costs and reduction in the use of inputs and environmental contamination. The main techniques available are based on the generation of application maps and the use of sensors in real time to identify weed infestations, which can be used in the preemergence (PRE) and postemergence (POST) of weeds. Both modalities are equally important in integrated weed management. VRA systems still require relatively high investment, restricting their use. The constant improvement of the VRA should further increase its benefits and reduce the costs of adopting the system, allowing its use by more farmers. The use of precision agriculture in farming systems is a path of no return, in view of the conjuncture of food production needs and scarcity of natural resources. Thus, VRA tends to be used more and more frequently until possible complete replacement of the conventional way of using herbicides in agriculture.
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\n\n',keywords:"VRA, precision agriculture, chemical control, automation",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/73076.pdf",chapterXML:"https://mts.intechopen.com/source/xml/73076.xml",downloadPdfUrl:"/chapter/pdf-download/73076",previewPdfUrl:"/chapter/pdf-preview/73076",totalDownloads:774,totalViews:0,totalCrossrefCites:2,totalDimensionsCites:2,totalAltmetricsMentions:2,impactScore:1,impactScorePercentile:52,impactScoreQuartile:3,hasAltmetrics:1,dateSubmitted:"April 1st 2020",dateReviewed:"August 6th 2020",datePrePublished:"August 27th 2020",datePublished:"December 23rd 2020",dateFinished:"August 27th 2020",readingETA:"0",abstract:"With the advent of precision agriculture, it was possible to integrate several technologies to develop the variable rate application (VRA). The use of VRA allows savings in the use of herbicides, better weed control, lower environmental impact and, indirectly, increased crop productivity. There are VRA techniques based on maps and sensors for herbicide application in preemergence (PRE) and postemergence (POST). The adoption of the type of system will depend on the investment capacity of the producer, skilled workforce available, and the modality of application. Although it still has some limitations, VRA has been widespread and has been occupying more and more space in chemical management, the tendency in the medium- and long term is that there is a gradual replacement of the conventional method of application. Given the benefits provided by VRA along with the engagement of companies and researchers, there will be constant evolution and improvement of this technology, cheapening the costs of implementation and providing its adoption by an increasing number of producers. Thus, the objective of this chapter was to address an overview of the use of herbicides in VRA for weed management in PRE and POST.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/73076",risUrl:"/chapter/ris/73076",book:{id:"9711",slug:"pests-weeds-and-diseases-in-agricultural-crop-and-animal-husbandry-production"},signatures:"Alessandro da Costa Lima and Kassio Ferreira Mendes",authors:[{id:"308883",title:"Dr.",name:"Kassio Ferreira",middleName:null,surname:"Mendes",fullName:"Kassio Ferreira Mendes",slug:"kassio-ferreira-mendes",email:"kfmendes@ufv.br",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/308883/images/system/308883.jpg",institution:{name:"Universidade Federal de Viçosa",institutionURL:null,country:{name:"Brazil"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Variable rate application (VRA) of herbicides",level:"1"},{id:"sec_2_2",title:"2.1 Map-based variable rate application (VRA)",level:"2"},{id:"sec_3_2",title:"2.2 Sensor-based variable rate application (VRA)",level:"2"},{id:"sec_5",title:"3. Variable rate application (VRA) in preemergence (PRE)",level:"1"},{id:"sec_6",title:"4. Variable rate application (VRA) in postemergence (POST)",level:"1"},{id:"sec_6_2",title:"4.1 Map based: weed mapping",level:"2"},{id:"sec_7_2",title:"4.2 Sensor based: real time",level:"2"},{id:"sec_7_3",title:"4.2.1 WEED-IT",level:"3"},{id:"sec_8_3",title:"4.2.2 WeedSeeker",level:"3"},{id:"sec_10_2",title:"4.3 Robots for variable rate application (VRA) in postemergence (POST)",level:"2"},{id:"sec_10_3",title:"Table 3.",level:"3"},{id:"sec_11_3",title:"4.3.2 BoniRob",level:"3"},{id:"sec_14",title:"5. Variable rate controllers",level:"1"},{id:"sec_14_2",title:"5.1 Flow-based control systems",level:"2"},{id:"sec_15_2",title:"5.2 Chemical direct injection systems",level:"2"},{id:"sec_16_2",title:"5.3 Direct chemical injection with carrier control",level:"2"},{id:"sec_18",title:"6. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'\nFoley JA, Ramankutty N, Brauman KA, Cassidy ES, Gerber JS, Johnston M, et al. Solutions for a cultivated planet. Nature. 2011;478(7369):337-342. DOI: 10.1038/nature10452\n'},{id:"B2",body:'\nGodfray HCJ, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF, et al. Food security: The challenge to feeding 9 billion people. Science. 2010;327(5957):812-818. DOI: 10.1126/science.1185383\n'},{id:"B3",body:'\nGeberrs R, Adamchuk VI. Precision agriculture and food security. Science. 2010;327(5967):828-831. DOI: 10.1126/science.1183899\n'},{id:"B4",body:'\nMolin JP, Amaral LR, Colaço AF. Agricultura de precisão. 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DOI: 10.2136/sssaj2001.1829\n'},{id:"B21",body:'\nMachado PLOA, Bernardi ACC, Valencia LIO, Molin JP, Gimenez LM, Silva CA, et al. Mapeamento da condutividade elétrica e relação com a argila de Latossolo sob plantio direto. Pesquisa Agropecuária Brasileira. 2006;41(6):1023-1031. DOI: 10.1590/S0100-204X2006000600019\n'},{id:"B22",body:'\nAPagri. HTV herbicida em taxa variável [Internet]. 2020. Available from: http://apagri.com.br/htv-herbicida-em-taxa-variavel/ [Accessed: 12 May 2020]\n'},{id:"B23",body:'\nSchuster I, Nordmeyer H, Rath T. Comparison of vision-based and manual weed mapping in sugar beet. Biosystems Engineering. 2007;98(1):17-25. DOI: 10.1016/j.biosystemseng.2007.06.009\n'},{id:"B24",body:'\nSa I, Popović M, Khanna R, Chen Z, Lottes P, Liebisch F, et al. WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. Remote Sensing. 2018;10(9):e1423. 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DOI: 10.3389/fpls.2017.01111\n'},{id:"B29",body:'\nCalderón R, Navas-Cortés JA, Lucena C, Zarco-Tejada PJ. High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices. Remote Sensing of Environment. 2013;139:231-245. DOI: 10.1016/j.rse.2013.07.031\n'},{id:"B30",body:'\nColomina I, Molina P. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing. 2014;92:79-97. DOI: 10.1016/j.isprsjprs.2014.02.013\n'},{id:"B31",body:'\nPeña JM, Torres-Sánchez J, Castro AI, Kelly M, López-Granados F. Weed mapping in early season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images. PLoS One. 2013;8(10):e77151. DOI: 10.1371/journal.pone.0077151\n'},{id:"B32",body:'\nTian L. Development of a sensor-based precision herbicide application system. Computers and Electronics in Agriculture. 2002;36(2-3):133-149. DOI: 10.1016/s0168-1699(02)00097-2\n'},{id:"B33",body:'\nShiratsuchi LS, Christoffoleti PJ, Fontes JRA. Aplicação localizada de herbicidas. Embrapa Cerrados – Documentos. 2003;91:1-18\n'},{id:"B34",body:'\nSmartSensing. WEED-IT Quadro [Internet]. 2020. Available from: http://smartsensingbrasil.com.br/ [Accessed: 13 May 2020]\n'},{id:"B35",body:'\nTrimble Agriculture. WeedSeeker Spot Spray System. 2020. Available from: https://agriculture.trimble.com/product/weedseeker-spot-spray-system/ [Accessed: 13 May 2020]\n'},{id:"B36",body:'\nKassler M. Agricultural automation in the new millennium. Computers and Electronics in Agriculture. 2001;20(1-3):237-240. DOI: 10.1016/S0168-1699(00)00167-8\n'},{id:"B37",body:'\nWeiss U, Biber P. Plant detection and mapping for agricultural robots using a 3D LIDAR sensor. Robotics and Autonomous Systems. 2011;59(5):265-273. DOI: 10.1016/j.robot.2011.02.011\n'},{id:"B38",body:'\nBechar A, Vigneault C. Agricultural robots for field operations: Concepts and components. Biosystems Engineering. 2016;149:94-111. DOI: 10.1016/j.biosystemseng.2016.06.014\n'},{id:"B39",body:'\nPedersen SM, Fountas S, Have H, Blackmore BS. Agricultural robots—System analysis and economic feasibility. Precision Agriculture. 2006;7(4):295-308. DOI: 10.1007/s11119-006-9014-9\n'},{id:"B40",body:'\nGrift T. Robotics in crop production. In: Heldman DR, Moraru CI, editors. Encyclopedia of Agricultural, Food, and Biological Engineering. 2nd ed. New York: CRC Press; 2010. pp. 260-262. DOI: 10.1081/E-EAFE-120043046\n'},{id:"B41",body:'\nHollick V. RIPPA Robot Takes Farms Forward to the Future [Internet]. 2015. Available from: https://sydney.edu.au/news-opinion/news/2015/10/21/rippa-robot-takes-farms-forward-to-the-future-.html [Accessed: 12 April 2020]\n'},{id:"B42",body:'\nSukkarieh S. An Intelligent Farm Robot for the Vegetable Industry [Internet]. 2016. Available from: https://www.horticulture.com.au/globalassets/laserfiche/assets/project-reports/vg12104/vg12014---final-report-complete.pdf [Accessed: 12 April 2020]\n'},{id:"B43",body:'\nKing A. The future of agriculture. Nature. 2017;540:21-23. DOI: 10.1038/544S21a\n'},{id:"B44",body:'\nSellmann F, Bangert W, Grzonka S, Hänsel M. RemoteFarming. 1: Human-machine interaction for a field-robot-based weed control application in organic farming. In: 4th International Conference on Machine Control & Guidance; 19-20 March 2014. Germany: Technische Universität Braunschweig; 2014. pp. 36-42\n'},{id:"B45",body:'\nEcorobotix. Switch to Smartweeding with Ecorobotix [Internet]. 2020. Available from: http://www.ecorobotix.com/en/ [Accessed: 27 May 2020]\n'},{id:"B46",body:'\nRashidi M, Mohammadzamani D. Variable rate herbicide application using GPS and generating a digital management map. In: Larramendy ML, Soloneski S, editors. Herbicides, Theory and Applications. London: IntechOpen; 2011. pp. 127-144. DOI: 10.5772/1320\n'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Alessandro da Costa Lima",address:null,affiliation:'
Department of Agronomy, Federal University of Viçosa, Viçosa, MG, Brazil
Department of Agronomy, Federal University of Viçosa, Viçosa, MG, Brazil
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1. Introduction
Dietary supplements are defined in the United States as products that contain one or more dietary ingredient such as vitamins, minerals, herbs, botanicals, and amino acids and are intended to supplement the diet [1]. In other countries dietary supplements are named differently including natural health products, complementary medicines, food supplements, and others [2]. Nonetheless, “dietary supplements” is a general term for products that mostly contain herbs, botanicals, proteins, and/or vitamins and minerals that are used with the intention to promote health. Despite the legal framework, dietary ingredients are often used and recommended for treating or preventing diseases. In this chapter, “dietary supplements” will be used as a general term to encompass several dietary ingredients.
Usage of dietary supplements has increased this last two decades [2]. From herbs, proteins, to vitamins and minerals, consumers are interested in self-treatment and preventing diseases [3]. Often using information from the internet to self-prescribe, many consumers believe that natural products are safe, while many others avoid using these products because of the lack of an approval process by health officials in many countries. Many dietary supplements provide significant benefits to health [4]. However, the lack of guidance from health professionals can be problematic.
Dietary supplements are likely safe when used as prescribed [4, 5]. But, when combined with drugs and disease, these products can interact and cause side effects [6, 7]. Some of the steps to evaluate the safe use of dietary ingredients is to know their mechanism of action, clinical effect, and consumers’ medical history. For example, an ingredient that induces liver enzymes will reduce the effect of a drug that is metabolized by these same enzymes. This can be life threating if the patient depends on this drug for normal function.
Due to the benefits that several of these dietary ingredients provide, it is important to evaluate their safety for wide spread recommendation. Particularly due to times of pandemic such as the coronavirus disease 2019 (COVID-19) [8], ways to prevent disease severity and to be used as adjunct treatments are needed. Several dietary ingredients have been reported to be effective against COVID-19 in review articles. For this book chapter, 30 review articles and meta-analysis were evaluated for the selection of the dietary ingredients herein discussed. The selection criterium was based on the number of articles that cited the ingredients as being effective as well as the commonality and accessibility of the ingredients across the globe. Vitamins and minerals were excluded due to their safety being extensively researched. Because COVID-19 severity is worse among patients with diabetes and cardiovascular disease, the safety use of these ingredients in the context of these comorbidities are presented here.
2. Comorbidities and their drug treatments
2.1 COVID-19
COVID-19 is a respiratory infection caused by the virus named “severe acute respiratory syndrome coronavirus 2” (SARS-CoV-2) [8]. COVID-19 is a novel disease officially declared as a pandemic on March 11th, 2020 [9, 10]. SARS-CoV-2 has infected 98.2 million people worldwide and caused 2.1 million deaths as of January 24th, 2021 [11]. COVID-19 is characterized by dry cough, fever, and fatigue symptoms in adults while in children rhinorrhea, abdominal pain, and diarrhea are also present [10]. SARS-CoV-2 binds directly to angiotensin converting enzyme 2 (ACE2) for subsequent entry into cells [10, 12]. Infected cells respond to the virus by generating pro-inflammatory cytokines and chemokines that sometimes lead to a cytokine storm which aggravates the disease [10, 12, 13]. Those with certain underlying health conditions such as respiratory disease, cardiovascular disease, and diabetes as well as older individuals seem to be at a higher risk for developing severe complications from the infection [14, 15]. Because SARS-CoV-2 has approximately 80% genomic homology with SARS-CoV-1, the virus that caused the 2002–2003 epidemic, many research studies have proposed the use of treatments that were effective against SARS-CoV-1 [9]. Current treatments for COVID-19 used in the clinics are ACE2 inhibitors, corticosteroids, chloroquine, anti-inflammatory tocilizumab, comostat, protease inhibitors (lopivavir and ritonavir), and RNA polymerase inhibitors (remdesivir, favipiravir) [16]. Some of the established protocols are: no treatment for mild cases besides acetaminophen for fever; hydroxychloroquine + azithromycin for moderate cases; tocilizumab or sarilumab for worsening respiratory function; and remdesivir, convalescent plasma, corticosteroids for respiratory failure. NSAIDs such as ibuprofen are not recommended due to potential increase in ACE2 expression [17]. Lastly, it has been suggested that reduction in cholesterol decreases viral mRNA [18]. Thus, treatments that reduce cholesterol in addition to antivirals, anti-inflammatories, and respiratory support should be beneficial in managing COVID-19.
2.2 Heart disease and diabetes
As noted above, patients with heart disease and diabetes are more likely to develop severe COVID-19. Thus, many of these patients will be given medications for COVID-19 on top of the current heart/diabetes medications they take. For example, patients continue to take ACE inhibitors or angiotensin II receptor blockers (ARBs) during COVID-19 infection [17]. Furthermore, these are the patients more likely to benefit from dietary ingredients that assist in preventing or treating COVID-19. Due to multiple treatments at once, the likelihood of drug–drug and drug-herb interaction in these patients is high. Drug treatments for heart disease include several types: anticoagulants, antiplatelets, ACE inhibitors, ARBs, beta blockers, calcium channel blockers, cholesterol lowering, diuretics, and vasodilators [19]. For diabetes main medication classes include sulfonylureas, meglitinides, metformin, and glitazones [20]. The metabolism of some commonly prescribed of these medications are listed in Table 1. As noted, the most common cytochrome P450 enzyme involved in the metabolism of these drugs are CYP3A4, followed by CYP2C9, 2D6, and 2C8 [21, 22, 23, 24, 25]. Approximately half of them are primarily excreted via the kidneys.
Metabolism and excretion of some common medications used in COVID-19, heart disease and diabetes.
3. Echinacea spp. (echinacea) – Antiviral and immune support
3.1 Echinacea in COVID-19
Echinacea has antiviral and immunomodulatory effects that seems to be promising against COVID-19 [13, 26]. Several studies have investigated the benefits of echinacea in treating and preventing respiratory tract infections such as the common cold, but not for other health purposes [27]. No studies have yet been completed on echinacea and COVID-19 [28]. A meta-analysis including 17 clinical trials found that echinacea is safe and effective in preventing or treating viral infections. In a separate analysis including 12 clinical trials, echinacea showed to decrease or not change pro-inflammatory cytokines associated with cytokine storm (IL-6, IL-1β, and TNF-α) and increase or not change anti-inflammatory or immune-stimulatory cytokines (IL-10, IL-2, IL-8, IL-3, and IFN-γ). These effects are beneficial during infections since immune stimulatory and anti-inflammatory effects are needed but pro-inflammatory cytokines can aggravate the disease. Adverse events were mild with the most common reported being insomnia, gastrointestinal, and anxiety. One case of serious erythema was reported. Most studies included healthy participants and echinacea dose and method of extraction were quite variable making it difficult to evaluate safety in patients with comorbidities [28].
3.2 Echinacea in diabetes
Not many studies have investigated the effects of echinacea in diabetes. In Wistar rats, 33 days of echinacea root extract showed hypoglycemic activity similar to glibenclamide. No safety parameters were investigated [29]. Echinacea purpurea flower extract and caffeic acid derivatives inhibited α-amylase, α-glucosidase, and ACE activities in a concentration-dependent manner [30].
3.3 Echinacea in heart disease
Almost no studies have evaluated the effects of echinacea on heart conditions such as hypertension and hypercholesterolemia. In one study with 374 elderly, 349 reported to use over-the-counter drugs and 43 reported to use herbal medicine. Echinacea was the most common herbal therapy used while aspirin, acetaminophen, laxatives, antiacids, and vitamins were the most common over-the-counter drugs [31]. This single study suggests the potential for interaction of echinacea with drugs.
3.4 Echinacea toxicity
In a review article, echinacea was considered to have a high or medium evidence for efficacy and safety [32]. Debatable concern of hepatotoxicity with echinacea when used for more than 8 weeks has been raised [6]. On the other hand, echinacea has shown hepatic and renal protection against toxins in rats with no effect by itself on liver and kidney parameters including AST, ALT, ALP, blood urea nitrogen and creatinine [33]. No toxicity was found in rats and mice after oral or intravenous injection of Echinacea purpurea at high doses. No evidence of mutagenicity in vitro and in mice or carcinogenicity in hamster embryo cells [34]. Echinacea is contraindicated in patients with autoimmune disease. Little evidence to evaluate the effect of echinacea in renal impairment [35].
3.5 Echinacea pharmacokinetics
In vivo pharmacokinetics in 12 healthy men and women, Echinacea purpurea root inhibited CYP1A2 and induced CYP3A enzymes [36]. In another similar study with 13 healthy adults, Echinacea purpurea induced CYP3A enzymes but did not change the pharmacokinetics of ritonavir. Ritonavir is an inhibitor of CYP3A thus likely counteracted the induction caused by echinacea. No effect on p-glycoprotein was found [37]. In an in vitro study, Echinacea purpurea showed mixed effects on CYP3A4 and moderate inhibition of CYP2C9 [38]. A review article found echinacea to have high likelihood of drug-herb interaction [39].
3.6 Echinacea safety summary
Echinacea is likely safe when taken short-term, up to 8 weeks, in healthy adults. Unknown safety in patients with diabetes or heart disease. Caution should be taken when combining with medications metabolized by CYP3A, 1A2, and 2C9 enzymes.
4. Glycyrrhiza sp. root (licorice) – Antiviral and respiratory support
4.1 Licorice in COVID-19
Licorice root is used as a flavoring agent in food in many countries. In the United States, anise oil is often used for this purpose. Licorice is promoted as a dietary supplement for digestion, cough, infections, and others [40]. Frequently recommended by herbalists, licorice has recently shown to be the herb most frequently used for COVID-19 treatment [41, 42]. Several review articles have discussed the potential effectiveness of licorice in treating COVID-19 for its antiviral, anti-inflammatory, spasmolytic, and expectorant effects [9, 10, 12, 13, 14]. Some in vitro studies showed that the active component glycyrrhizin inhibits the replication of SARS-coronavirus (SARS-CoV) [43, 44]. Other in vitro studies showed that glycyrrhizin may prevent SARS-CoV-2 entry by binding to ACE2 receptors and other protein targets [45, 46]. Clinical trials of licorice use during COVID-19 are ongoing. Daily doses range from 250 mg 25% extract (62.5 mg glycyrrhizin) for 10 days to 2.28 g 3% extract (70 mg glycyrrhizin) for 7 days [47, 48].
4.2 Licorice in diabetes
Not many studies have investigated the effects of licorice in diabetes. In a clinical trial with 58 overweight and obese but otherwise healthy volunteers, 1.5 g licorice extract (<0.01% glycyrrhizin) for 8 weeks decreased insulin and HOMA-IR without side effects [49]. In cell cultures, de-glycyrrhizinated or regular licorice showed to be a potential therapeutic target in diabetic nephropathy [50]. In diabetic mice, licorice hydrophobic flavonoids demonstrated abdominal fat-lowering and hypoglycemic effects [51].
4.3 Licorice in heart disease
Cases of hypokalemia and hypertension have been reported after daily ingestion of licorice tea or after short-term high dose [52, 53, 54]. In one case patient was combining licorice with the glucocorticoid medication fludrocortisone [55]. The active components of licorice, glycyrrhizinates, inhibit the enzyme responsible for inactivating cortisol and bind to mineralocorticoid receptors resulting in reversible hyper-mineralocorticoid effects [56]. A meta-analysis with 18 clinical trials found that chronic daily intake of 100 mg glycyrrhizin increases systolic and diastolic blood pressure [57]. In another meta-analysis including 26 clinical trials and 985 subjects, mainly healthy and overweight but some with hypercholesterolemia, found licorice to reduce body weight and BMI but increase diastolic blood pressure. Licorice was given as licorice flavonoid oil with a dose range of 300 mg to 1.8 g/day for 2–16 weeks [58]. In a dose–response relationship investigation in healthy men and women, licorice root with 108 or 217 mg of glycyrrhizin per day for 4 weeks caused no adverse events. However, licorice with 380 and 814 mg glycyrrhizin caused headache, arterial hypertension, hyperkalemia, and peripheral edema. One individual had a family history of hypertension [59]. Lastly, a similar study compared adverse events in patients with hypertension versus normotensive individuals during 100 g licorice containing 150 mg glycyrrhetinic acid per day for 4 weeks. Systolic and diastolic blood pressure were slightly increased in normotensive (3.5 and 3.6 mmHg) but significantly greater increase in hypertensive patients (15.3 and 9.3 mmHg). Increase in urinary cortisol correlated with the rise in blood pressure [60]. These data suggest that glycyrrhizin at dose >200 mg/day short-term and > 100 mg/day long-term in patients or healthy individuals can cause reversible hyperkalemia and hypertension.
4.4 Licorice toxicity
Despite licorice being a substance generally recognized as safe (GRAS) in the United States [61] and regarded as having a high safety profile because it is consumed as food [32], licorice can cause hypertension and hypokalemia in a dose-dependent manner [57]. However, safe dose will vary depending on licorice’s composition and the underlying medical conditions. Those with hypertension, heart or kidney disease are more sensitive to licorice toxicity [40]. In a study involving 360 subjects, no clinically significant change in renal function (potassium, blood urea nitrogen, and creatinine levels) were found in 98.3% of the subjects after ~19 days of ~8 g licorice per day taken as dietary supplements that contained other ingredients. The remaining 1.7% of subjects developed hyperkalemia [62]. In a safety and toxicity study with 39 healthy female and male volunteers aged 19–40 years old, glycyrrhizic acid was administered at 1, 2, and 4 mg/kg body weight daily for 8 weeks. A no-effect level of 2 mg/kg was found and applying a 100-safety factor, the acceptable daily intake of 0.2 mg/kg body weight was proposed. This is equivalent to 12 mg glycyrrhizic acid/day for a 60-kg person [63]. Similarly, based on review of in vivo and clinical evidence, an acceptable daily intake has been proposed to be 0.015–0.229 mg glycyrrhizin/kg body weight [64]. The acceptable daily intake without a safety factor is equivalent to 120 mg glycyrrhizic acid. This dose could be considered safe if used short-term in a situation of high benefit versus risk.
4.5 Licorice pharmacokinetics
Glycyrrhiza glabra has shown weak inhibition of CYP3A4 and moderate inhibition of CYP2B6, 2C8, 2C9, and 2C19. Glycyrrhiza uralensis showed strong inhibition of CYP2B6, moderate inhibition of CYP2C8, 2C9, and 2C19, and no inhibition of CYP3A4 and 2D6. Glycyrrhiza inflata strongly inhibited CYP2C enzymes and moderately inhibited of CYP3A4, 1A2, 2B6, and 2D6. None of the three species inhibited CYP2E1 and 2A6. Glycyrrhizin content was highest in G. uralensis suggesting that glycyrrhizin is a weak inhibitor of the major enzymes CYP3A4 and 2D6 [65]. Weak inhibition of CYP3A4 and 2D6 by glycyrrhizin and G. glabra were also found in a different study [66].
4.6 Licorice safety summary
A safe daily dose for short-term use consists of licorice with less than 100 mg glycyrrhizin. For daily long-term use a dose of 12 mg glycyrrhizin has been proposed. COVID-19 studies are using short-term doses of <100 mg glycyrrhizin per day. Caution should be taken when combining licorice with medications. Licorice inhibits several cytochrome P450 enzymes including CYP1A2, 2B6, 2C8, 2C9, and 2C19. Only G. inflata inhibits CYP3A4 and 2D6.
5. Curcuma longa (turmeric) – Antiviral and anti-inflammatory
5.1 Turmeric in COVID-19
Turmeric has antiviral and anti-inflammatory effects that might benefit COVID-19 patients [10, 13]. It has also been hypothesized that the antioxidant effects of turmeric benefit diabetic patients during COVID-19 infection [67]. However, some has expressed concerns that curcumin, the main active component of turmeric, might increase the expression of ACE2 and worsen COVID-19 infection as well as increase pro-inflammatory cytokines and worsen COVID-19 in patients with cytokine storm [26]. In the contrary, curcumin binds to viral S protein and the viral attachment sites of the ACE2 receptor protein to inhibit the entry of SARS-CoV2 [18, 68]. In addition, curcumin has shown to reduce inflammatory cytokines in COVID-19 patients. In a clinical study with 40 COVID-19 patients, curcumin given as nano-curcumin at 160 mg/day for 14 days reduced the inflammatory cytokines IL-6 and IL-1β as well as clinical manifestations (fever, cough, dyspnea, headache, chest radiography, lymphocyte, white blood cells, and platelets count) in comparison to placebo-treated group. Both groups were taking atorvastatin, bromhexine, and betaferon concomitantly with 5–15% of them having diabetes, cardiovascular disease or renal disease. These results suggest the effectiveness and safety of curcumin in COVID-19 patients with underlying medical conditions [69].
5.2 Turmeric in diabetes
In clinical trials with type 2 diabetic patients, curcuminoids from 250 mg/day for 9 months to 1 g/day for 3 months improved glycemic control, β-cell function, insulin resistance, and reduced inflammatory cytokines with no major adverse effects. Minor side effects included diarrhea, constipation, vertigo, and itching. Some clinical and preclinical studies also showed that curcumin improve biomarkers of liver and kidney damage [70]. In a clinical trial on 46 patients with diabetic nephropathy, 1.5 g curcumin for 16 weeks improved 24-h urine analysis for albuminuria with no change in blood urea nitrogen, creatinine, fasting blood sugar, 2-h postprandial blood sugar, lipid profile, serum albumin, and hemoglobin A1C in comparison to placebo and baseline [71].
5.3 Turmeric in heart disease
A recent meta-analysis found that turmeric or curcumin have no effect on diastolic blood pressure and minor effect on systolic blood pressure when taken for longer than 12 weeks [72]. A meta-analysis that included 7 randomized, placebo-controlled clinical trials in patients with cardiovascular risk factors (i.e., non-alcoholic fatty liver disease, metabolic syndrome, type 2 diabetes, prehypertension, and dyslipidemia) found turmeric powder at 2–2.4 g/day for 1–2 months, turmeric extract with 0.6–1.9 g curcuminoids/day for 2–6 months, or curcumin at 70–80 mg/day for 2–3 months were effective in reducing serum LDL-cholesterol and triglycerides levels. Adverse events reported were abdominal pain, nausea, dyspepsia, constipation, and hot flushes. Hot flushes were also reported in the placebo group. In 3 of the trials patients were kept on their medications during the study; however, only one trial disclosed the name of the concomitant drug treatment (metformin) [73].
5.4 Turmeric toxicity
Turmeric has GRAS status in the United States [74]. Through a toxicological assessment, the European Food Safety Authority (EFSA) has recommended curcumin daily intake be ≤3 mg/kg body weight per day (180 mg/day in 60 kg individuals) [75]. In 2–year oral feed studies, turmeric oil at 79–85% curcumin showed no biological significantly differences in hematology, clinical chemistry (liver and kidney function markers), and urinalysis parameters, but showed to potentially cause carcinogenicity in mice and rats especially in females at doses ≥100 mg/kg body weight in rats and 300 mg/kg body weight in mice [76]. However, the EFSA concluded that curcumin is not carcinogenic and studies have demonstrated the benefits of curcumin as an adjunct treatment of cancer [77]. High daily dose of curcumin might cause hepatotoxicity. In rats, 25 and 100 mg/kg body weight for 90 days of curcumin induced liver injury through the generation of reactive oxygen species and pro-inflammatory cytokines as well as reduced antioxidant and detoxifying enzymes SOD and GST [78]. Similarly, 5% turmeric via diet for 90 days in female Wistar rats and 0.2% turmeric via diet in female Swiss mice was hepatotoxic. Human equivalent dose for these rodent studies ranged from 250 mg curcumin/day to 1 g–50 g turmeric/day [79, 80].
5.5 Turmeric pharmacokinetics
Turmeric constituents have shown to inhibit p-glycoprotein in vitro and in vivo models [81]. Inhibition of p-glycoprotein can lead to increased bioavailability of drugs [82]. Curcumin is primarily eliminated in the feces with little renal excretion in a rat study [76]. In a pharmacokinetics study with healthy adults, turmeric reduced the bioavailability of the beta-blocker talinolol [83]. Curcumin was safe and effective when combined with glyburide in patients with type 2 diabetes. Better cholesterol and glycemia control without hypoglycemic side effects were observed. Curcumin increased AUC but did not change Cmax of glyburide [84]. In rats, curcumin increased the Cmax, AUC0-t and half-life of amlodipine – an antihypertensive drug [85]. Amlodipine is metabolized by CYP3A4 in humans [86]. Curcumin inhibits several hepatic CYP enzymes including 3A4, 1A2, 2B6 (competitive type of inhibition), 2D6 and 2C9 (non-competitive inhibition) in human recombinant cytochrome P450s [87]. However, it is been suggested that these effects are not clinically significant due to poor bioavailability of curcumin. In fact, in a pharmacokinetics study in healthy volunteers, 4 g curcuminoids +24 mg piperine to enhance bioavailability did not affect Cmax, AUC, clearance, or half-life of drugs metabolized by CYP3A, CYP2C9, and UGT, SULT conjugation enzymes [88].
5.6 Turmeric safety summary
Turmeric is safe and effective at doses ≤250 mg curcumin/day. Higher doses are associated with hepatotoxicity and potentially carcinogenicity. Doses as low as 70–250 mg curcuminoids/day has shown to be effective in metabolic disorders and COVID-19. Although turmeric inhibits cytochrome P450 enzymes, these effects seem to be clinically negligible. Caution when taken with drugs that are substrates of p-glycoprotein in order to avoid drug overdose. Although turmeric has hypoglycemic effects and might cause side effects such as fainting when combined with antidiabetic medications, this combination has shown to be safe in clinical trials.
6. Nigella sativa (black seed) – Anti-inflammatory and respiratory support
6.1 Nigella sativa in COVID-19
N. sativa is a plant native to South East Asia with several pharmacological effects including bronchodilation, antitussive, and anti-inflammatory and used as treatments of respiratory conditions, diabetes, cardiovascular diseases, among others [89, 90]. For example, in a clinical trial with 90 obese women, 3 g/day of N. sativa oil for 8 weeks reduced serum levels of TNFα and hsCRP in comparison to placebo with no adverse events reported [91]. In patients with asthma, 1 g N. sativa oil per day for 4 weeks reduced several inflammatory markers and improved pulmonary function [92]. Preclinical studies have shown that constituents in the methanolic extract of N. sativa seeds are responsible for the bronchodilator effect [93]. Recently, N. sativa has been regarded as a potential therapy for COVID-19 [13, 18, 94, 95]. For example, in a molecular docking-based study N. sativa inhibited SARS-CoV2 [94].
6.2 Nigella sativa in diabetes
Several clinical trials have been conducted to evaluate N. sativa in patients with type 2 diabetes [96]. For example, three controlled studies investigated the adjuvant use of 1–3 g/day N. sativa seeds powder or 2.5 ml/day N. sativa oil for 12 weeks in patients with type-2 diabetes. Significant and similar effects were observed with doses of 2 and 3 g/d on the reductions in fasting blood glucose, 2-hour postprandial glucose, HbA1C levels, and insulin resistance. Treatments were not associated with any adverse renal or hepatic functions throughout the study period. Patients were concomitantly taking oral hypoglycemic drugs (glibenclamide, metformin, rosiglitazone) but not insulin. Patients with coronary artery disease, valvular heart disease, heart failure, uncontrolled hypertension, renal failure and hepatic failure were excluded [97, 98, 99].
6.3 Nigella sativa in heart disease
In a meta-analysis including 11 randomized clinical trials with 860 hypertensive or normotensive individuals, N. sativa seeds versus placebo and one versus standard treatment significantly reduced systolic blood pressure by −3.60 mmHg and diastolic blood pressure by −2.80 mmHg. [100]. A similar meta-analysis including 17 randomized clinical trials with 1185 individuals with hyperlipidemia, obesity, hypertension, type 2 diabetes, or others, found that N. sativa seed powder or oil 1–3 g/day for up to 3 months reduces total cholesterol, LDL-cholesterol, and triglycerides [101]. No adverse events were reported by the subjects [102, 103]. One study in elderly with hypertension reported mild adverse events including dyspepsia in 6 subjects (15.7%), nausea in 3 subjects (7.8%), and constipation in 2 subjects (5.2%). No electrolyte abnormalities, liver and renal toxicities, or orthostatic hypotension were observed [104].
6.4 Nigella sativa toxicity
N. sativa has GRAS status in the United States [74]. A randomized, placebo-controlled study with 40 healthy elderly investigated the safety profile after daily intake of 1 g N. sativa seed powder for 9 weeks. Results found no statistical changes in any of the biochemical markers of cardiac, liver, and kidney function [105]. In 70 patients with chronic renal disease, 2.5 ml/day N. sativa oil for 12 weeks was safe and effective in improving clinical and biochemical parameters of kidney function without adverse events [106]. In a clinical trial with obese women, N. sativa oil (which is present in whole seeds and polar seed extracts), reduced body weight, VLDL cholesterol and triglycerides [107]. Traditional toxicity studies in rodents have been performed. In mice, hepatotoxicity was observed after 14-days of oral dosing at 6–21 g/kg body weight of N. sativa seeds water extract. No signs of hepatotoxicity were observed with methanolic and chloroform extracts. Body weight reductions were seen in methanolic extracts [108]. Similar findings were observed with the water extract in rats with increases in serum gamma-glutamyl transferase and alanine aminotransferase, but no changes in alkaline phosphatase and degeneration of hepatocytes [109]. In another rat study, 1 g/day for 6 weeks of whole N. sativa seeds were protective against hyperlipidemia to a similar extent as simvastatin without adverse effects to liver markers [110]. Human equivalent doses are 30–100 g N. sativa extracts per day for the mice study, and 10 g whole seeds per day for the rat study [80].
6.5 Nigella sativa pharmacokinetics
One of the main active constituents in N. sativa seeds and oil is thymoquinone. Thymoquinone has shown to bind to human α(1)-acid glycoprotein in the plasma [111] and inhibit CYP2C9 > 2D6 > 1A2 > 3A4 liver enzymes [112]. In hypertensive rats, N. sativa + alompidine showed greater reduction in blood pressure and heart rate than N. sativa alone, but no effect on alompidine pharmacokinetics (Cmax, AUC0-t, Kel, and terminal half-life) [113]. In another study in hypertensive rats, N. sativa + losartan showed greater reduction in blood pressure than N. sativa alone. N. sativa slightly reduced losartan Cmax and AUC0-t [114]. Alompidine is metabolized by CYP3A4 and losartan by CYP2C9 and 3A4 in humans. These data suggest that N. sativa has minimal effect on CYP3A4 but inhibits CYP2C9. In other words, N. sativa has antihypertensive effects on its own but potentiates the effect of drugs metabolized by CYP2C9 which can cause further drop in blood pressure and lead to side effects such as fainting.
6.6 Nigella sativa safety summary
N. sativa whole seeds, oil or polar extracts (i.e., non-aqueous) at human doses up to 3 g/day for 12 weeks beneficially affect inflammatory and metabolic markers without adverse effects on heart, liver, or kidneys in healthy adults as well as in patients with heart disease and diabetes. N. sativa reduces blood glucose and blood pressure. Thus, caution when combining with hypoglycemic and antihypertensive drugs to avoid side effects. N. sativa can increase the bioavailability of drugs metabolized by CYP2C9 leading to higher risks of their side effects. Some diabetes and heart medications metabolized by CYP2C9 are losartan, fluvastatin, glipizide [25].
7. Interactions summary
The combination of several dietary ingredients might be desirable when their main mechanisms of action and clinical effects differ. For example, combination of an anti-inflammatory, antiviral, immunostimulant, and bronchodilator herbs might be recommended. Safety combination of black seed and turmeric has been demonstrated in a clinical study. N. sativa seed (1.5 g/d) and turmeric (2.4 g/d) in patients with metabolic syndrome for 4 weeks was safe and effective in reducing blood glucose, cholesterol, and blood pressure despite both ingredients having hypoglycemic and antihypertensive effects alone [115]. Any effect of echinacea on blood glucose and blood pressure is insufficient to evaluate. Licorice can increase blood pressure depending on the dose. Since turmeric and N. sativa have anti-hypertensive effects, the addition of licorice might be safe. All of the four dietary ingredients described here inhibit CYP2C9. All except N. sativa also inhibit CYP1A2. Turmeric and licorice also inhibit CYP2B6. Turmeric inhibits CYP3A4 and echinacea induces it. Thus, caution should be taken when combining these dietary ingredients with drugs metabolized by CYP3A4, 2C9, 1A2 and 2B6. As presented in Table 1, many drugs used in COVID-19, diabetes, and heart disease are metabolized by CYP3A4 and 2C9. Caution should be taken with echinacea and turmeric because they induce or inhibit CYP3A4, respectively. Lastly, many drug examples presented in Table 2 are excreted via urine. Turmeric and black seed are likely safe when combined with medications that are excreted by the kidneys. Caution when combining with licorice due to its potential to cause hyperkalemia. No sufficient evidence to evaluate echinacea’s effect on kidney function.
Summary of level of evidence for efficacy and safety of echinacea, licorice, turmeric, and black seed in COVID-19, heart disease, and diabetes.
8. Conclusions
All the four dietary ingredients discussed herein are safe for use short-term as in a setting of treating a disease. However, some might not be safe when taken long-term. For example, no safety data was found for echinacea in heart disease and diabetes. Long-term use of low dose or short-term use of high dose licorice can cause reversible hypertension. Hepatotoxicity might occur with long-term use of turmeric >250 mg/day. Lastly, all of these four dietary ingredients are metabolized by cytochrome P450 enzymes to some extent. Mostly they inhibit CYP2C9, 1A2 and 2B6. Caution with echinacea because it induces CYP3A4 and turmeric because it inhibits it.
Conflict of interest
The author declares no conflict of interest.
\n',keywords:"herbs, supplements, drug-herb interaction, safety, COVID-19, heart disease, diabetes",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/75758.pdf",chapterXML:"https://mts.intechopen.com/source/xml/75758.xml",downloadPdfUrl:"/chapter/pdf-download/75758",previewPdfUrl:"/chapter/pdf-preview/75758",totalDownloads:210,totalViews:0,totalCrossrefCites:0,dateSubmitted:"February 2nd 2021",dateReviewed:"February 24th 2021",datePrePublished:"March 29th 2021",datePublished:"May 11th 2022",dateFinished:"March 16th 2021",readingETA:"0",abstract:"Usage of supplements has increased dramatically this last decade. From herbs to vitamins and mineral, consumers are interested in improving health, self-treatment and preventing diseases. Often using information from the internet to self-prescribe, many consumers believe that natural products are safe, while many others avoid using these products because of the lack of an approval process by health officials in many countries. Herbs and other supplements including proteins, vitamins and minerals provide significant benefits to health. The lack of guidance from health professionals however can be problematic. When combined with drugs and disease, herbs can interact and cause side effects. Some of the steps to evaluate the safe use of supplements is to know their mechanism of action, clinical effect, and consumers’ medical history. For example, an herb that induces liver enzymes will reduce the effect of a drug that is metabolized by these same enzymes. This can be life threating if the patient depends on this drug for normal function. Based on drug-herb interaction experience and literature review, this book chapter provides insights into safe use of echinacea, licorice, turmeric, and black seed in patients with heart disease, diabetes, and COVID-19.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/75758",risUrl:"/chapter/ris/75758",signatures:"Paula Vieira-Brock",book:{id:"10356",type:"book",title:"Natural Medicinal Plants",subtitle:null,fullTitle:"Natural Medicinal Plants",slug:"natural-medicinal-plants",publishedDate:"May 11th 2022",bookSignature:"Hany A. El-Shemy",coverURL:"https://cdn.intechopen.com/books/images_new/10356.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83969-276-5",printIsbn:"978-1-83969-275-8",pdfIsbn:"978-1-83969-277-2",isAvailableForWebshopOrdering:!0,editors:[{id:"54719",title:"Prof.",name:"Hany",middleName:null,surname:"El-Shemy",slug:"hany-el-shemy",fullName:"Hany El-Shemy"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"343363",title:"Ph.D.",name:"Paula",middleName:null,surname:"Vieira-Brock",fullName:"Paula Vieira-Brock",slug:"paula-vieira-brock",email:"paulavbrock@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Comorbidities and their drug treatments",level:"1"},{id:"sec_2_2",title:"2.1 COVID-19",level:"2"},{id:"sec_3_2",title:"2.2 Heart disease and diabetes",level:"2"},{id:"sec_5",title:"3. Echinacea spp. (echinacea) – Antiviral and immune support",level:"1"},{id:"sec_5_2",title:"3.1 Echinacea in COVID-19",level:"2"},{id:"sec_6_2",title:"3.2 Echinacea in diabetes",level:"2"},{id:"sec_7_2",title:"3.3 Echinacea in heart disease",level:"2"},{id:"sec_8_2",title:"3.4 Echinacea toxicity",level:"2"},{id:"sec_9_2",title:"3.5 Echinacea pharmacokinetics",level:"2"},{id:"sec_10_2",title:"3.6 Echinacea safety summary",level:"2"},{id:"sec_12",title:"4. Glycyrrhiza sp. root (licorice) – Antiviral and respiratory support",level:"1"},{id:"sec_12_2",title:"4.1 Licorice in COVID-19",level:"2"},{id:"sec_13_2",title:"4.2 Licorice in diabetes",level:"2"},{id:"sec_14_2",title:"4.3 Licorice in heart disease",level:"2"},{id:"sec_15_2",title:"4.4 Licorice toxicity",level:"2"},{id:"sec_16_2",title:"4.5 Licorice pharmacokinetics",level:"2"},{id:"sec_17_2",title:"4.6 Licorice safety summary",level:"2"},{id:"sec_19",title:"5. Curcuma longa (turmeric) – Antiviral and anti-inflammatory",level:"1"},{id:"sec_19_2",title:"5.1 Turmeric in COVID-19",level:"2"},{id:"sec_20_2",title:"5.2 Turmeric in diabetes",level:"2"},{id:"sec_21_2",title:"5.3 Turmeric in heart disease",level:"2"},{id:"sec_22_2",title:"5.4 Turmeric toxicity",level:"2"},{id:"sec_23_2",title:"5.5 Turmeric pharmacokinetics",level:"2"},{id:"sec_24_2",title:"5.6 Turmeric safety summary",level:"2"},{id:"sec_26",title:"6. Nigella sativa (black seed) – Anti-inflammatory and respiratory support",level:"1"},{id:"sec_26_2",title:"6.1 Nigella sativa in COVID-19",level:"2"},{id:"sec_27_2",title:"6.2 Nigella sativa in diabetes",level:"2"},{id:"sec_28_2",title:"6.3 Nigella sativa in heart disease",level:"2"},{id:"sec_29_2",title:"6.4 Nigella sativa toxicity",level:"2"},{id:"sec_30_2",title:"6.5 Nigella sativa pharmacokinetics",level:"2"},{id:"sec_31_2",title:"6.6 Nigella sativa safety summary",level:"2"},{id:"sec_33",title:"7. Interactions summary",level:"1"},{id:"sec_34",title:"8. Conclusions",level:"1"},{id:"sec_38",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Congress, Dietary Supplement Health and Education Act of1994, in S.784, U.S.o. America, Editor. 1994: https://www.congress.gov/bill/103rd-congress/senate-bill/784/text'},{id:"B2",body:'Dwyer, J.T., P.M. Coates, and M.J. Smith, Dietary Supplements: Regulatory Challenges and Research Resources. 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Comput Biol Med, 2020. 124: p. 103936'},{id:"B47",body:'Network, E.B.R., Evaluation of The Potential Therapeutic Effects of Licorice and Boswellia Serrata Gum in Egyptian Patients With COVID-19 as a Complementary Medicine. Identifier: NCT04487964, 2020, January - 2021, January. https://clinicaltrials.gov/ct2/show/NCT04487964'},{id:"B48",body:'Safa, O., et al., Effects of Licorice on clinical symptoms and laboratory signs in moderately ill patients with pneumonia from COVID-19: A structured summary of a study protocol for a randomized controlled trial. Trials, 2020. 21(1): p. 790'},{id:"B49",body:'Alizadeh, M., et al., Changes of Insulin Resistance and Adipokines Following Supplementation with Glycyrrhiza Glabra L. Extract in Combination with a Low-Calorie Diet in Overweight and Obese Subjects: a Randomized Double Blind Clinical Trial. 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A self-contained work on a particular subject, or an aspect of it, written by one or more authors
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Primary research and original scholarship presented in detail
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FORMATS
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Single or multiple author manuscript
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Edited Book - an edited collection of chapters contributed by various authors
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Conference Proceedings - collection of papers presented at a conference published in book format
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COST
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10,000 GBP Monograph - Long Form
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The final price includes project management, editorial and peer-review services, technical editing, language copyediting, cover design, book layout, book promotion and ISBN assignment.
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\r\n\tTransforming our World: the 2030 Agenda for Sustainable Development endorsed by United Nations and 193 Member States, came into effect on Jan 1, 2016, to guide decision making and actions to the year 2030 and beyond. Central to this Agenda are 17 Goals, 169 associated targets and over 230 indicators that are reviewed annually. The vision envisaged in the implementation of the SDGs is centered on the five Ps: People, Planet, Prosperity, Peace and Partnership. This call for renewed focused efforts ensure we have a safe and healthy planet for current and future generations.
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\r\n\tThis Series focuses on covering research and applied research involving the five Ps through the following topics:
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\r\n\t1. Sustainable Economy and Fair Society that relates to SDG 1 on No Poverty, SDG 2 on Zero Hunger, SDG 8 on Decent Work and Economic Growth, SDG 10 on Reduced Inequalities, SDG 12 on Responsible Consumption and Production, and SDG 17 Partnership for the Goals
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\r\n\t2. Health and Wellbeing focusing on SDG 3 on Good Health and Wellbeing and SDG 6 on Clean Water and Sanitation
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\r\n\t3. Inclusivity and Social Equality involving SDG 4 on Quality Education, SDG 5 on Gender Equality, and SDG 16 on Peace, Justice and Strong Institutions
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\r\n\t4. Climate Change and Environmental Sustainability comprising SDG 13 on Climate Action, SDG 14 on Life Below Water, and SDG 15 on Life on Land
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\r\n\t5. Urban Planning and Environmental Management embracing SDG 7 on Affordable Clean Energy, SDG 9 on Industry, Innovation and Infrastructure, and SDG 11 on Sustainable Cities and Communities.
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\r\n
\r\n\tThe series also seeks to support the use of cross cutting SDGs, as many of the goals listed above, targets and indicators are all interconnected to impact our lives and the decisions we make on a daily basis, making them impossible to tie to a single topic.
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The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. 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