The positions and amplitudes of the first maximum EQE of OSC and IOSC at different wavelengths. The positions correspond to the active layer thickness and OSC behaves slighter thickness oscillation behavior than IOSC.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"3343",leadTitle:null,fullTitle:"Advances in Geoscience and Remote Sensing",title:"Advances in Geoscience and Remote Sensing",subtitle:null,reviewType:"peer-reviewed",abstract:"Remote sensing is the acquisition of information of an object or phenomenon, by the use of either recording or real-time sensing device(s), that is not in physical or intimate contact with the object (such as by way of aircraft, spacecraft, satellite, buoy, or ship). In practice, remote sensing is the stand-off collection through the use of a variety of devices for gathering information on a given object or area. Human existence is dependent on our ability to understand, utilize, manage and maintain the environment we live in - Geoscience is the science that seeks to achieve these goals. This book is a collection of contributions from world-class scientists, engineers and educators engaged in the fields of geoscience and remote sensing.",isbn:null,printIsbn:"978-953-307-005-6",pdfIsbn:"978-953-51-4901-9",doi:"10.5772/46139",price:159,priceEur:175,priceUsd:205,slug:"advances-in-geoscience-and-remote-sensing",numberOfPages:754,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"d40150daaa27a3f6aa378ff979c402b7",bookSignature:"Gary Jedlovec",publishedDate:"October 1st 2009",coverURL:"https://cdn.intechopen.com/books/images_new/3343.jpg",numberOfDownloads:124015,numberOfWosCitations:201,numberOfCrossrefCitations:95,numberOfCrossrefCitationsByBook:null,numberOfDimensionsCitations:184,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:480,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 24th 2012",dateEndSecondStepPublish:"May 15th 2012",dateEndThirdStepPublish:"August 19th 2012",dateEndFourthStepPublish:"November 17th 2012",dateEndFifthStepPublish:"December 17th 2012",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"4191",title:"Dr.",name:"Gary",middleName:null,surname:"Jedlovec",slug:"gary-jedlovec",fullName:"Gary Jedlovec",profilePictureURL:"https://mts.intechopen.com/storage/users/4191/images/system/4191.jpg",biography:"Gary Jedlovec has spent most of the last 30 years developing and evaluating algorithms to retrieve geophysical parameters from remotely sensed aircraft and satellite measurements for\nregional climate studies, weather forecasting, and disaster applications. He is currently leading an effort to transition the use of unique NASA Earth Observing System satellite data into selected weather forecast offices around the country as part of the Short-term Prediction Research and Transition (SPoRT) project (http://weather.msfc.nasa.gov/sport) to demonstrate the utility of these data to improve short term weather forecasts. Over the last few years, this project has\nfocused on using NASA satellite data to detect and monitor natural disasters, providing valuable information to the USGS, FEMA, and other disaster response agencies.\nJedlovec received his Bachelor of Science and Master of Science degrees in meteorology in 1979 and 1981 from Saint Louis University, Saint Louis, Missouri. He was awarded the doctorate in meteorology with a minor in remote sensing from the University of Wisconsin - Madison in 1987. He joined NASA’s Marshall Space Flight Center in 1985 and holds an adjunct professor position with the University of Alabama in Huntsville, where he teaches and mentors graduate students in atmospheric sciences.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"653",title:"Remote Sensing",slug:"geology-and-geophysics-remote-sensing"}],chapters:[{id:"9551",title:"Enhancing the Unmixing Algorithm through the Spatial Data Modeling for Limnological Studies",doi:"10.5772/8336",slug:"enhancing-the-unmixing-algorithm-through-the-spatial-data-modeling-for-limnological-studies",totalDownloads:2644,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Enner Herenio Alcantara, Jose Luiz Stech, Evlyn Marcia Leso de Moraes Novo and Claudio Clemente Faria Barbosa",downloadPdfUrl:"/chapter/pdf-download/9551",previewPdfUrl:"/chapter/pdf-preview/9551",authors:[null],corrections:null},{id:"9547",title:"Application of Remote Sensing to the Estimation of Sea Ice Thickness Distribution",doi:"10.5772/8332",slug:"application-of-remote-sensing-to-the-estimation-of-sea-ice-thickness-distribution",totalDownloads:3106,totalCrossrefCites:1,totalDimensionsCites:3,hasAltmetrics:0,abstract:null,signatures:"Takenobu Toyota",downloadPdfUrl:"/chapter/pdf-download/9547",previewPdfUrl:"/chapter/pdf-preview/9547",authors:[null],corrections:null},{id:"9532",title:"Correction of NDVI Calculated from ASTER L1B and ASTER (AST07) Data Based on Ground Measurement",doi:"10.5772/8317",slug:"correction-of-ndvi-calculated-from-aster-l1b-and-aster-ast07-data-based-on-ground-measurement",totalDownloads:4046,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:"atmospheric correction of the satellite data, for example correction of visible and near-infrared spectral bands, requires removing the adjacency effect that is due to the reflection from contiguous pixels. To evaluate the accuracy of the ATCOR software atmospheric correction method of Terra/ASTER data (Jun 30, 2002) we compared the NDVI parameters taken from different sources, such as ground measurement using ground radiometric measurement data (ASD's FieldSpec® Pro), atmospheric corrected ASTER L1B data and ASTER surface reflectance product (AST07) data. The study area named Sarobetsu Marsh is located in the coastal area of Hokkaido Island, Japan. It has been found that 5% of the scattering radiation is contained within the ASTER Green band, 47% of radiation was absorbed in the ASTER NIR band and 17% of radiation was absorbed in the ASTER SWIR6 band, respectively. There was no significant difference between ASD's measurement values and the ATCOR software output values in the ASTER reflection band and absorption bands of chlorophyll (i.e. NIR-band and Red-band). However, differences were seen in the ASTER scattering bands (i.e. visible Green band) and soil reflection bands (i.e. ASTER SWIR bands). Comparison of the original ASD's ground measurement data with the AST07 (©NASA/EOSDIS ASTER surface reflectance product data (L2B) values has revealed very low reflectance of a NIR band.",signatures:"Hoshino Buho, Masami Kaneko and Kenta Ogawa",downloadPdfUrl:"/chapter/pdf-download/9532",previewPdfUrl:"/chapter/pdf-preview/9532",authors:[null],corrections:null},{id:"9550",title:"Environmental Hazards in the El-Temsah Lake, Suez Canal District, Egypt",doi:"10.5772/8335",slug:"environmental-hazards-in-the-el-temsah-lake-suez-canal-district-egypt",totalDownloads:3852,totalCrossrefCites:2,totalDimensionsCites:5,hasAltmetrics:0,abstract:"Chemical and biological analyses were integrated using remote sensing GIS techniques to evaluate the environmental pollution of El-Temsah Lake, in the Suez Canal, in order to provide critical data to enhance development planning and economic projects within the study area. Fifty-six samples were collected from seven sites in the lake from July 2005 to May 2006. Samples were collected in each of four seasons, and included 28 surface sediment samples and 28 water samples. Sediment samples were analyzed for Fe, Pb, Ni, Co, Cu, Mg, K and Na. The results showed an increase in beach sediment pollution from summer to winter. Taxonomic analysis of phytoplankton samples revealed 102 taxa, including 56 Bacillariophyceae, 8 Chlorophyceae, 18 Dinophyceae and 20 Cyanophyceae. Chlorophyll a concentrations ranged from 0.3 to 26 µg l-1, with the highest values during the winter and lowest values during the summer. These results suggest that beach sediment pollution is highest in the winter and, at the same time, the water quality conditions in El-Temsah lake favor oxidation conditions which maximize phytoplankton productivity. In contrast, sediment pollution and phytoplankton productivity are lowest during summer, which also corresponds to more alkaline water conditions. The images were rectified and analyzed by ERDAS IMAGINE 8.9. A 1968 topographic map and enhanced 2005 Landsat Thematic Mapper images (30 m resolution) were utilized to determine the coastline positions using ERDAS Imagine 8.9. Image processing techniques were applied using ENVI 4.2 to analyze the ETM+ image data. Image enhancement was applied. Image data was enhanced spectrally to verify surface water pollution detected from chemical and biological analyses and to detect the sources of untreated domestic, industrial and agricultural waste water. In general, the lake has been subjected to successive shrinking due to human activities, primarily through extensive building along the shoreline. The uncontrolled growth of cities is associated with seismic hazards, affecting on buildings and infrastructures, mostly due to insufficient knowledge of earthquakes activity. Seismic epicentres were recorded along the Suez Canal from 1904 to 2006. Widespread moderate to micro earthquakes were identified around the western side of the lake, with scattered events along the eastern side. In general, water pollution in El-Temsah Lake has been mitigated over the last decade due to successive dredging and improved water treatment. Most of untreated water was discharged along the western side of the lake. The eastern part of the lake is less polluted and is, therefore, more suited for fishing, tourism, urban planning and navigation activities, although higher use of eastern portion of the lake could accelerate water and sediment quality deterioration in that region.",signatures:"Kaiser, M. F., Amin, A. S. and Aboulela, H. A.",downloadPdfUrl:"/chapter/pdf-download/9550",previewPdfUrl:"/chapter/pdf-preview/9550",authors:[null],corrections:null},{id:"9534",title:"Air Pollution Determination Using Remote Sensing Technique",doi:"10.5772/8319",slug:"air-pollution-determination-using-remote-sensing-technique",totalDownloads:9696,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"H. S. Lim, M. Z. MatJafri, K. Abdullah and C. J. Wong",downloadPdfUrl:"/chapter/pdf-download/9534",previewPdfUrl:"/chapter/pdf-preview/9534",authors:[null],corrections:null},{id:"9554",title:"Some Features of The Volume Component of Radar Backscatter From Thick and Dry Snow Cover",doi:"10.5772/8339",slug:"some-features-of-the-volume-component-of-radar-backscatter-from-thick-and-dry-snow-cover",totalDownloads:3142,totalCrossrefCites:5,totalDimensionsCites:6,hasAltmetrics:0,abstract:null,signatures:"Boris Yurchak",downloadPdfUrl:"/chapter/pdf-download/9554",previewPdfUrl:"/chapter/pdf-preview/9554",authors:[null],corrections:null},{id:"9538",title:"Theoretical Modeling for Polarimetric Scattering and Information Retrieval of SAR Remote Sensing",doi:"10.5772/8323",slug:"theoretical-modeling-for-polarimetric-scattering-and-information-retrieval-of-sar-remote-sensing",totalDownloads:4643,totalCrossrefCites:2,totalDimensionsCites:4,hasAltmetrics:0,abstract:null,signatures:"Ya-Qiu Jin",downloadPdfUrl:"/chapter/pdf-download/9538",previewPdfUrl:"/chapter/pdf-preview/9538",authors:[null],corrections:null},{id:"9555",title:"Polarimetric Responses and Scattering Mechanisms of Tropical Forests in the Brazilian Amazon",doi:"10.5772/8340",slug:"polarimetric-responses-and-scattering-mechanisms-of-tropical-forests-in-the-brazilian-amazon",totalDownloads:3777,totalCrossrefCites:6,totalDimensionsCites:8,hasAltmetrics:0,abstract:"This chapter discusses the polarimetric responses of PALSAR (L-band) data and scattering mechanisms of some tropical forest typologies based on target decomposition. The fundamentals of polarimetric theory related to both SAR topics under development are summarized. For representation of polarimetric signatures, the cross-section of the forest target (σ) was plotted on a bi-dimensional graphic as a function of the orientation angle, ellipticity angle and the intensity of co-polar components of the radar signal. The analysis of scattering mechanisms was done by the association of entropy and mean alpha angle values of each sample, plotted in a bi-dimensional classification space. This study improves the understanding of the interaction mechanisms between L-band PALSAR signals and structural parameters, supporting the forest inventory in the Brazilian Amazon region.",signatures:"J. R. dos Santos, I. S. Narvaes, P. M. L. A. Graca and F. G. Goncalves",downloadPdfUrl:"/chapter/pdf-download/9555",previewPdfUrl:"/chapter/pdf-preview/9555",authors:[null],corrections:null},{id:"9546",title:"Discovery of User-Generated Geographic Data Using Web Search Engines",doi:"10.5772/8331",slug:"discovery-of-user-generated-geographic-data-using-web-search-engines",totalDownloads:2127,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Carlos Abargues, Carlos Granell, Laura Diaz, Joaquin Huerta and Arturo Beltran",downloadPdfUrl:"/chapter/pdf-download/9546",previewPdfUrl:"/chapter/pdf-preview/9546",authors:[null],corrections:null},{id:"9557",title:"Estimation of Soil Properties Using Observations and the Crop Model STICS. Interest of Global Sensitivity Analysis and Impact on the Prediction of Agro-Environmental Variables",doi:"10.5772/8342",slug:"estimation-of-soil-properties-using-observations-and-the-crop-model-stics-interest-of-global-sensiti",totalDownloads:2466,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Hubert Varella, Martine Guerif and Samuel Buis",downloadPdfUrl:"/chapter/pdf-download/9557",previewPdfUrl:"/chapter/pdf-preview/9557",authors:[null],corrections:null},{id:"9540",title:"Modeling of Wake-Vortex Detection by a Ground-based Fiber LIDAR System",doi:"10.5772/8325",slug:"modeling-of-wake-vortex-detection-by-a-ground-based-fiber-lidar-system",totalDownloads:2315,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"S. Brousmiche, L. Bricteux, G. Winckelmans, B. Macq and P. Sobieski",downloadPdfUrl:"/chapter/pdf-download/9540",previewPdfUrl:"/chapter/pdf-preview/9540",authors:[null],corrections:null},{id:"9525",title:"Earthquake Damage Mapping Techniques Using SAR and Optical Remote Sensing Satellite Data",doi:"10.5772/8290",slug:"earthquake-damage-mapping-techniques-using-sar-and-optical-remote-sensing-satellite-data",totalDownloads:3990,totalCrossrefCites:2,totalDimensionsCites:8,hasAltmetrics:0,abstract:null,signatures:"Marco Chini",downloadPdfUrl:"/chapter/pdf-download/9525",previewPdfUrl:"/chapter/pdf-preview/9525",authors:[null],corrections:null},{id:"9533",title:"Spectroscopic Microwave Dielectric Model of Moist Soils",doi:"10.5772/8318",slug:"spectroscopic-microwave-dielectric-model-of-moist-soils",totalDownloads:2055,totalCrossrefCites:2,totalDimensionsCites:4,hasAltmetrics:0,abstract:null,signatures:"Valery Mironov and Pavel Bobrov",downloadPdfUrl:"/chapter/pdf-download/9533",previewPdfUrl:"/chapter/pdf-preview/9533",authors:[null],corrections:null},{id:"9541",title:"Automated Detection of Clouds in Satellite Imagery",doi:"10.5772/8326",slug:"automated-detection-of-clouds-in-satellite-imagery",totalDownloads:3533,totalCrossrefCites:15,totalDimensionsCites:25,hasAltmetrics:1,abstract:null,signatures:"Gary Jedlovec",downloadPdfUrl:"/chapter/pdf-download/9541",previewPdfUrl:"/chapter/pdf-preview/9541",authors:[null],corrections:null},{id:"9556",title:"Remote sensing and the disaster management cycle",doi:"10.5772/8341",slug:"remote-sensing-and-the-disaster-management-cycle",totalDownloads:6685,totalCrossrefCites:4,totalDimensionsCites:24,hasAltmetrics:1,abstract:null,signatures:"Karen E. Joyce, Kim C. Wright, Sergey V. Samsonov and Vincent G. Ambrosia",downloadPdfUrl:"/chapter/pdf-download/9556",previewPdfUrl:"/chapter/pdf-preview/9556",authors:[null],corrections:null},{id:"9543",title:"Prediction of Volumetric Shrinkage in Expansive Soils (Role of Remote Sensing)",doi:"10.5772/8328",slug:"prediction-of-volumetric-shrinkage-in-expansive-soils-role-of-remote-sensing-",totalDownloads:8332,totalCrossrefCites:0,totalDimensionsCites:3,hasAltmetrics:0,abstract:null,signatures:"Fekerte Arega Yitagesu, Freek van der Meer and Harald van der Werff",downloadPdfUrl:"/chapter/pdf-download/9543",previewPdfUrl:"/chapter/pdf-preview/9543",authors:[null],corrections:null},{id:"9526",title:"Monitoring Soil Moisture from Spaceborne Passive Microwave Radiometers: Algorithm Developments and Applications to AMSR-E and SSM/I",doi:"10.5772/8291",slug:"monitoring-soil-moisture-from-spaceborne-passive-microwave-radiometers-algorithm-developments-and-ap",totalDownloads:2534,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Hui Lu, Toshio Koike, Tetsu Ohta, David Ndegwa Kuria, Kun Yang Hideyuki Fujii, Hiroyuki Tsutsui and Katsunori Tamagawa",downloadPdfUrl:"/chapter/pdf-download/9526",previewPdfUrl:"/chapter/pdf-preview/9526",authors:[null],corrections:null},{id:"9524",title:"Multiwavelength Polarimetric Lidar for Foliage Obscured Man-Made Target Detection",doi:"10.5772/8289",slug:"multiwavelength-polarimetric-lidar-for-foliage-obscured-man-made-target-detection",totalDownloads:3823,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:1,abstract:null,signatures:"Songxin Tan and Jason Stoker",downloadPdfUrl:"/chapter/pdf-download/9524",previewPdfUrl:"/chapter/pdf-preview/9524",authors:[null],corrections:null},{id:"9530",title:"Unmixing Based Landsat ETM+ and ASTER Image Fusion for Hybrid Multispectral Image Analysis",doi:"10.5772/8315",slug:"unmixing-based-landsat-etm-and-aster-image-fusion-for-hybrid-multispectral-image-analysis",totalDownloads:3177,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Nouha Mezned, Saadi Abdeljaoued and Mohamed Rached Boussema",downloadPdfUrl:"/chapter/pdf-download/9530",previewPdfUrl:"/chapter/pdf-preview/9530",authors:[null],corrections:null},{id:"9544",title:"InSAR phase analysis: Phase unwrapping for noisy SAR interferograms",doi:"10.5772/8329",slug:"insar-phase-analysis-phase-unwrapping-for-noisy-sar-interferograms",totalDownloads:5483,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Riadh Abdelfattah",downloadPdfUrl:"/chapter/pdf-download/9544",previewPdfUrl:"/chapter/pdf-preview/9544",authors:[null],corrections:null},{id:"9549",title:"Soil moisture estimation using L-band radiometry",doi:"10.5772/8334",slug:"soil-moisture-estimation-using-l-band-radiometry",totalDownloads:3034,totalCrossrefCites:3,totalDimensionsCites:6,hasAltmetrics:1,abstract:null,signatures:"Alessandra Monerris and Thomas Schmugge",downloadPdfUrl:"/chapter/pdf-download/9549",previewPdfUrl:"/chapter/pdf-preview/9549",authors:[null],corrections:null},{id:"9548",title:"AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems",doi:"10.5772/8333",slug:"aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys",totalDownloads:3395,totalCrossrefCites:10,totalDimensionsCites:16,hasAltmetrics:0,abstract:null,signatures:"Haiyang Chao, Austin M. Jensen, Yiding Han, YangQuan Chen and Mac McKee",downloadPdfUrl:"/chapter/pdf-download/9548",previewPdfUrl:"/chapter/pdf-preview/9548",authors:[null],corrections:null},{id:"9529",title:"Possibilistic and fuzzy multi-sensor fusion for humanitarian mine action",doi:"10.5772/8314",slug:"possibilistic-and-fuzzy-multi-sensor-fusion-for-humanitarian-mine-action",totalDownloads:2163,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Nada Milisavljevic and Isabelle Bloch",downloadPdfUrl:"/chapter/pdf-download/9529",previewPdfUrl:"/chapter/pdf-preview/9529",authors:[null],corrections:null},{id:"9528",title:"Non specular reflection and depolarisation due to walls under oblique incidence",doi:"10.5772/8293",slug:"non-specular-reflection-and-depolarisation-due-to-walls-under-oblique-incidence",totalDownloads:2490,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Inigo Cuinas, Manuel G. Sanchez and Ana V. Alejos",downloadPdfUrl:"/chapter/pdf-download/9528",previewPdfUrl:"/chapter/pdf-preview/9528",authors:[null],corrections:null},{id:"9552",title:"Dynamical Enhancement Technique for Geophysical Analysis of Remote Sensing Imagery",doi:"10.5772/8337",slug:"dynamical-enhancement-technique-for-geophysical-analysis-of-remote-sensing-imagery",totalDownloads:1818,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Ivan E. 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From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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However, they are still not available for the commercialization due to their low power conversion efficiency (PCE). Therefore, many research works have focused on the employing of new materials and device structures to improve the device performance. The milestone is the introduction and application of the bulk heterojunction structure consisting of an interpenetrating network of electron donor and acceptor materials [5]. By using this structure, the conventional organic solar cell (OSC) with poly(3-hexylthiophene)/[6,6]-phenyl C61-butyric acid methyl ester (P3HT:PCBM) blend shows a superior performance. Recently, the inverted organic solar cell (IOSC, in which the polarities of the two electrodes are exchanged) has also been introduced as the possible candidate for OSC to remedy the low air stability of OSC [6]. Both OSC and IOSC are now attracting the research interest. However, most of the previous works are mainly done for OSC or IOSC separately, and almost no researches are reported about the systemic comparison between OSC and IOSC for their different performances besides the air stability. Since the reported PCE of IOSC is relatively lower than that of OSC in many researches, one may doubt that which structure is better, the conventional one or the inverted one? As a result, one section of this chapter aims to investigate the performance differences of OSC and IOSC.
\n\t\t\tAlthough PCE of the standalone organic solar cell (including OSC and IOSC) is improved continuously with the research development, some bottlenecks still seem to appear because of the drawbacks coming from the molecular and macromolecular materials: First, the organic solar cell is dominated by the excitonic effect, the relatively short lifetime and the low charge mobility, and these factors limit the maximum thickness of the active layer for light absorption. Second, most organic semiconducting materials show discrete absorption behaviour and cover only a fraction of the solar spectrum, leading to inefficient light harvest. To overcome these drawbacks, the realization of the tandem structure based on complementary thin absorber materials provides a reasonable solution to the above obstacles. As a promising concept to achieve high PCE, the tandem solar cell can reduce the loss via subbandgap transmission of photons, the major loss mechanism in solar cells [7]. For an ideal tandem solar cell, it requires current matching of the subcells, a lossless recombination contact and a complementary absorption of the subcells. Among them, current matching of the subcells is a leading design criterion for improving the tandem device performance. Then, the organic tandem solar cell optimization by considering the current matching is also involved in this chapter.
\n\t\t\tAs is well known, the working principle of organic photovoltaic devices can be simply described as a process of “light in- current out”. This process consists of seven parts:
\n\t\t\tin-coupling of photon,
photon absorption,
exciton formation,
exciton migration,
exciton dissociation,
charge transport, and
charge collection at the electrodes.
The first two parts are the optical mechanisms of the device and the other parts constitute the electrical aspect. The optical aspect plays a significant role because more incident photons and absorbed photons are the baseline for the better device performance. It has been reported that the internal quantum efficiency (IQE) of organic bulk heterojunction solar cells can reach 100% [8]. Thus the external quantum efficiency (EQE) can be approximately described as the product of IQE and the ratio of the number of absorbed photons in active layer to the number of incoming photons. As a result, the optimization of organic solar cells from the optical aspect is seriously important. This is why we investigate the device performance of standalone and tandem organic solar cells mainly from the optical aspect in this work.
\n\t\t\tThe contents of this chapter are arranged as the following: Section 2 investigates the performance of the standalone conventional and inverted organic solar cells, especially the performance differences between the two types of devices. Section 3 discusses the optimization of the organic tandem solar cell from the optical aspect by considering the current matching. At last, a short conclusion is given in Section 4.
\n\t\tIn order to investigate the standalone organic solar cell, we have performed optical simulations based on the Transfer Matrix Formalism with two subsets of 2×2 matrices (layer matrix and interface matrix), which was firstly introduced into organic solar cells by Pettersson et al [9] and now has been used widely. In this method, the cell is treated as a one-dimensional stack of homogeneous and isotropic layers with flat interfaces, and the number of photons absorbed in the active layer is obtained by calculating the time average of the energy dissipated per second in it. The detailed calculation processes are not presented here since the transfer matrix method is widely applied [10].
\n\t\t\t\tIn the calculation, we assume that one absorbed photon produces one exciton in the active layer and one exciton divides into two free charges (one electron and one hole), and one electron (or hole) is collected by cathode (or anode). As a result, the number of photons absorbed in the active layer can be used as the substitute for the maximum possible short circuit current density and the EQE can be simplified as the ratio of the number of photons absorbed in the active layer to the number of incident photons.
\n\t\t\t\tSchematic illustration of the conventional organic solar cell (OSC) with a structure of ITO/PEDOT:PSS/P3HT:PCBM/Al (a), and the inverted organic solar cell (IOSC) with a structure of ITO/TiOx/P3HT:PCBM/MoO3/Al (b). For OSC, the layers of ITO/PEDOT:PSS act as anode and Al acts as cathode, however for ISOC, the layers of TiOx/ITO and Al play the roles of cathode and anode, respectively. Meanwhile, the layers of TiOx and MoO3 are chosen for electron and hole transport layers. The P3HT:PCBM (1:1) is the active layer and the incident light enters devices from glass in both structures.
In this optical model, the layer of P3TH:PCBM is chosen as the active layer. OSC has the structure of ITO (150 nm)/PEDOT:PSS(50 nm)/P3HT:PCBM(x nm)/Al(100 nm) and ISOC has the structure of ITO(150 nm)/TiOx (10 nm)/P3HT:PCBM(x nm)/MoO3 (10 nm)/Al (100 nm), as shown in Fig.1. The optical constants of P3HT:PCBM, PEDOT:PSS, ITO, TiOx, MoO3, ZnO and Al are obtained from literatures [11-13].
\n\t\t\t\t\n\t\t\t\tIt should be noted that, the reflection of the glass substrate is taken into account to revise the initial intensity of optical electric field at glass/ITO interface and can be described as
\n\t\t\t\twhere R* represents the reflectance of air/glass interface, R the reflectance for the stack structure, ng the refraction coefficient of glass and |E0|2 (modulus squared of the optical electric filed) the initial intensity of optical electric field when light arrives at air/glass interface.
\n\t\t\t\tTo calculate the number of absorbed photons (or excitons) in the active layer, the energy flow dissipation per second for single wavelength in active layer, Q is given as
\n\t\t\t\twhere c is the speed of light, ε0 the permittivity of vacuum, α the absorption coefficient, n the real index of refraction, and |E|2 the total optical electric field intensity in the multilayer stack at single wavelength. Then the number of photons absorbed in the active layer can be expressed as
\n\t\t\t\twhere N represents the number of photons absorbed in the active layer, hc/λ the photon energy at a specified wavelength λ, h the Planck constant and c the speed of light. The devices are illuminated with AM 1.5G solar spectra.
\n\t\t\tThe number of photons absorbed in the active layer as a function of the active layer thickness is obtained for OSC and IOSC, as well the EQE as a function of the wavelength or the active layer thickness. The optical modulation effect is investigated by inserting a ZnO layer between P3HT: PCBM and Al for OSC, and changing the thickness of MoO3 layer for ISOC, respectively.
\n\t\t\t\n\t\t\t\t
The results of the number of photons absorbed in the active layer as a function of the active layer thickness for OSC are shown in Fig. 2(a). It is clear that the number of absorbed photons increases with the active layer thickness and one can see a notable behavior of oscillation which is due to the optical interference effect induced by the incident light and the reflected light from the mirror metal electrode. The inserting of a ZnO layer leads to the shift of interference maxima to lower thicknesses and the remarkable increase of absorbed photons especially for the relatively thin active layer. However, the insertion of a ZnO layer makes no improvement near the active layer thicknesses where the interference maxima are obtained. This variation of the number of absorbed photons with the active layer thickness is the same as that of maximum possible short circuit current density in other researches [14].
\n\t\t\t\n\t\t\tFor IOSC, Fig. 2(b) shows the same tendency as OSC. It is obvious that the influence of optical modulation effect is more slightly when the active layer is relatively thick (about 150 nm). Comparing OSC with IOSC, as shown in Fig. 2 (c), it is clear that the number of absorbed photons in IOSC is larger at any active layer thicknesses except for the thicknesses around which the interference maxima of OSC are obtained. In other words, for most active layer thicknesses, the light absorption in IOSC is more effective, hence the larger contribution to photocurrent. It has been reported that the refractive index of TiOx is very similar to that of PEDOT:PSS, therefore the light loss induced by the reflection at the ITO/TiOx interface and that at the ITO/PEDOT:PSS interface is nearly equivalent. However, light absorption loss in the TiOx layer is smaller than that in the PEDOT:PSS layer [15].In addition, the layer of MoO3 in IOSC can act as an optical spacer layer. As a result, one can say the better light absorption in IOSC is attributed to the nearly equal amount of entering light and the smaller absorption loss in TiOx layer, as well as the optical modulation effect caused by MoO3 layer. Although IOSC shows a better performance than OSC at most of the active layer thicknesses, it is noted that the performance of IOSC is slightly lower than that of OSC around the interference peaks as shown in Fig. 2(c). One possible reason is the parasitic absorption in the MoO3 layer, because not only the the optical modulation effect but also the absorption loss could be caused by the MoO3 layer, which produces a tradeoff.
\n\t\t\t\n\t\t\tTo well understand the difference between OSC and IOSC, the distribution of optical electric field is investigated at different active layer thicknesses. According to the absorption coefficient of P3HT:PCBM calculated by α=4πk/λ, the maximum absorption coefficient is obtained at the incident light wavelength of around 512 nm, which agrees to the range of maximum absorption coefficient from 500 nm to 550 nm for P3HT:PCBM active material. As a result, the incident light of 512 nm is chosen to calculate the optical electric field distribution. The distributions of normalized modulus squared optical electric field at three different active layer thicknesses (45, 85, and 150 nm) for OSC and IOSC are shown in Fig. 3. The thickness of TiOx is specified as 50 nm to make the active layer region at same position in Fig. 3 for a clear comparison since its thickness has no significant influence on the photons absorbed in the active layer. Fig. 3(a) and (c) illustrate that the area below the curve of IOSC is larger than that below the curve of OSC for both thin and thick devices, which is consistent with the more absorbed photons in IOSC. And from Fig. 3(b), the opposite result can be seen when the active layer is 85 nm where the interference maximum of OSC is obtained, which agrees to the situation in Fig. 2(c). The similar results will also be shown in next part where the different performances of EQE for OSC and IOSC are discussed.
\n\t\t\tNumber of photons absorbed in the active layer versus the active layer thickness with various thicknesses of the optical spacer layer. (a) OSC with the ZnO layer thickness ranging from 0 to 30 nm. (b) IOSC with the MoO3 layer thickness ranging from 10 to 40 nm. (c) Comparison of the number of photons absorbed in active layer of OSC and ISOC as a function of the active layer thickness. In this case, no ZnO layer is inserted in OSC and the thickness of MoO3 is specified as 10 nm for ISOC.
Normalized optical electric field distribution varies with the distance from glass/ITO interface for OSC (black) and IOSC (red) devices. The incident light wavelength is specified as 512 nm. The active layer thicknesses are 45 nm (a), 85 nm (b), and 150 nm (c), respectively.
\n\t\t\t\t
The EQE as a function of incident light wavelength for OSC and IOSC is shown in Fig. 4, and the thicknesses of the active layer are specified as 40, 80, 160 and 220 nm. For OSC in Fig. 4(a), the EQE trends to increase with the thickness of the P3HT:PCBM layer in the range of wavelength from 450 to 650 nm. It should be noted that, the lower EQE at 160 nm than 80 nm can be explained by the fact that 80 nm is closed to the thickness where the first interference maximum of OSC is obtained (Fig. 2(c)). At the same time, the wavelength range possessing higher EQE is also expanded especially at the wavelength near 600 nm, where the shoulders are generally changed into peaks with the increasing of the active layer thickness. Of course, for the light over 650 nm, it prefers thicker active layer to achieve better absorption of light, and for the light near 400 nm, the variation of EQE with the active layer thickness displays a behavior of increase and decrease in turn. The similar results can be obtained from Fig.4 (b) for IOSC. For the thicker active layer beyond 220 nm, the same simulation results can be obtained (not presented here) and the results are agreed to the measured EQE of OSC and IOSC with 250 nm thick active layer. In short, the thick active layer brings higher EQE for both OSC and IOSC, and the main absorption range from 400 to 650 nm can be observed from Fig. 4.
\n\t\t\tEQE vs. wavelength for OSC (a) and IOSC (b) with four different thicknesses of active layer: 40 nm(black), 80 nm(red), 160 nm(blue), and 220 nm(green), respectively.
The comparison of EQE varying with the wavelength for OSC and IOSC is presented in Fig. 5. It is evident that IOSC with 40 and 160 nm active layer has better performance in EQE in the main absorption range. However, for the 80 and 220 nm active layer, the EQE of OSC is closed to or even higher than that of IOSC, which is due to the fact that these two thicknesses nearly equal the thicknesses where the interference maxima of OSC are obtained. In other words, IOSC is super to OSC in EQE in the main absorption range for both thin and thick active layers except for thicknesses around which the interference maxima of OSC are obtained, which agrees to the analysis of the number of photons absorbed in active layer in Fig. 2. Hence the explanation is the same for this result.
\n\t\t\tComparison of EQE as a function of wavelength for OSC (solid line) and IOSC (dash line) with four different active layer thicknesses: 40 nm, 80 nm, 160 nm, and 220 nm.
Comparison of EQE as a function of the active layer thickness for OSC (solid line) and IOSC (dash line) with six wavelengths of incident light: 400 nm, 450 nm, 500 nm, 550 nm, 600 nm, and 650 nm.
400 | \n\t\t\t\t\t\t450 | \n\t\t\t\t\t\t500 | \n\t\t\t\t\t\t550 | \n\t\t\t\t\t\t600 | \n\t\t\t\t\t\t650 | \n\t\t\t\t\t||
Position (nm) | \n\t\t\t\t\t\t65 | \n\t\t\t\t\t\t95 | \n\t\t\t\t\t\t85 | \n\t\t\t\t\t\t75 | \n\t\t\t\t\t\t75 | \n\t\t\t\t\t\t90 | \n\t\t\t\t\t|
EQE | \n\t\t\t\t\t\t0.7100 | \n\t\t\t\t\t\t0.8252 | \n\t\t\t\t\t\t0.8363 | \n\t\t\t\t\t\t0.8060 | \n\t\t\t\t\t\t0.7437 | \n\t\t\t\t\t\t0.1975 | \n\t\t\t\t\t|
Position (nm) | \n\t\t\t\t\t\t85 | \n\t\t\t\t\t\t115 | \n\t\t\t\t\t\t85 | \n\t\t\t\t\t\t65 | \n\t\t\t\t\t\t75 | \n\t\t\t\t\t\t90 | \n\t\t\t\t\t|
EQE | \n\t\t\t\t\t\t0.7306 | \n\t\t\t\t\t\t0.8150 | \n\t\t\t\t\t\t0.7987 | \n\t\t\t\t\t\t0.8109 | \n\t\t\t\t\t\t0.7574 | \n\t\t\t\t\t\t0.1952 | \n\t\t\t\t\t
The positions and amplitudes of the first maximum EQE of OSC and IOSC at different wavelengths. The positions correspond to the active layer thickness and OSC behaves slighter thickness oscillation behavior than IOSC.
To verify the above conclusion, the EQE as a function of the active layer thickness at different wavelengths of incident light is investigated. For the EQE of OSC and IOSC depicted in Fig. 6, a remarkable increase and oscillation behavior with the increase of the active layer thickness can be observed. From Fig. 6, a conclusion may be obtained that IOSC performs better than OSC at any thickness of active layer for the light ranging from 400 to 650 nm. However, at the active layer thicknesses around which the interference maxima of OSC are obtained, the EQE of OSC is close to or even higher than that of IOSC. To well investigate the difference between OSC and IOSC, the positions and amplitudes of the first maximum EQE at different wavelengths are shown in Table 1. The clear oscillation behavior of the positions and amplitudes of the maximum EQE can be seen for both OSC and IOSC, and OSC exhibits more slight thickness oscillation behavior than IOSC. It is evident that the slight oscillation of maxima at single wavelength is beneficial to the final maximum in the range including all wavelengths. Therefore, the results from Table 1 can also be used to explain the results shown in Fig. 2(c) and\n\t\t\t\tFig. 5.
\n\t\t\tIn summary, from pure optical aspect, OSC and IOSC have the same tendency in the number of photons absorbed in the active layer, EQE, and the optical electric field distribution as well as the similar influence of optical modulation effect. However, IOSC performs better than OSC except for the case wherein the interference maxima of OSC are obtained, which is due to the better light absorption of ISOC possible absorption loss caused by MoO3 layer.
\n\t\tAlthough PCE of the organic solar cell is improved continuously, there are still some drawbacks for standalone devices: First, the organic solar cell is dominated by the excitonic effect, the relatively short lifetime and the low charge mobility. All of these limit the maximum thickness of the active layer for light absorption. Second, most organic semiconducting materials show discrete absorption behavior and cover only a fraction of the solar spectrum, leading to inefficient light harvest. The realization of the organic tandem solar cell based on complementary thin absorber materials provides a reasonable solution to improve device performance further.
\n\t\t\tIn the existing views, matching the photocurrents of the subcells leads to the maximum PCE in the corresponding tandem cell, making it a crucial design criterion for optimum performance. Then to achieve a better device performance, the tandem cell should be optimized by considering current matching.
\n\t\t\ta) Absorption coefficients of both individual active layers. b) Normal and c) Reversed device structure.
As discussed in previous section, P3HT has been widely used as the donor conjugated polymer in the quest for high-efficiency bulk heterojunction organic solar cells. Its combination with PCBM as the acceptor is a standard active layer of organic solar cells based on polymer, whereas the low-energy onset of the absorption of this combination at about 650 nm limits the number of photons absorbed in the active layer. Recently, a very promising organic material has been reported and applied [16], namely poly[3,6-bis-(40-dodecyl-[2,20] bithiophenyl-5-yl)-2,5-bis-(2-ethyl-hexyl)-2,5-dihydropyrrolo[3,4-]pyrrole-1,4-dione] (pBBTDPP2). This new polymer combines electron-rich quaterthiophene (BBT) segments with electron-poor diketo pyrrolo-pyrrole (DPP) units to lower the optical bandgap to 1.4 eV in thin films. The onset of the absorption of the blend of pBBTDPP2 and PCBM is significantly shifted to 860 nm with o-dichlorobenzene as solvent. Thus, a series connected tandem solar cell based on P3HT:PCBM and pBBTDPP2:PCBM almost covers the whole UV and visible parts of the solar spectrum, making it attractive (see Fig. 7 (a)). It is necessary to carefully optimize the thicknesses of the front and back cells for different layer sequences to deeply exploit the opportunity provided by this tandem solar cell. Therefore, detailed optical simulations of tandem cells based on P3HT:PCBM and pBBTDPP2:PCBM have been carried out in this chapter.
\n\t\t\tAs in previous section, the calculation is still based on the Transfer Matrix Formalism. The basic structure of the tandem solar cell is shown in Fig. 7(b). On top of the glass, a 100 nm indium-tin-oxide (ITO) layer is used as the anode, followed by a 50 nm layer of PEDOT:PSS and a front active layer with variable thicknesses. The recombination contact consists of a 30 nm ZnO layer and a 15 nm PEDOT:PSS layer, followed by a back active layer with variable thicknesses. Finally, 100 nm Al is deposited to realize the cathode. In conventional tandem solar cells, materials mainly absorbing light of shorter wavelengths act as the front active layer to provide a window for the back cell while materials mostly absorbing light of longer wavelengths work as the back active layer. Thus the device with P3HT:PCBM in the front cell and pBBTDPP2:PCBM in the back cell is defined as“Normal Tandem Solar Cell” or “NTSC”, the device with pBBTDPP2:PCBM in the front cell and P3HT:PCBM in the back cell as “Reverse Tandem Solar Cell” or “RTSC”.
\n\t\t\t\tBefore starting our work, three assumptions should be stated. First, an electron-hole pair is generated in the solar cell with every photon absorbed. Second, Ohmic losses in the recombination contact and the spacer are negligible. In consequence, the open circuit voltage of the tandem solar cell is a summation of those of both subcells. Thus, the performance of the tandem solar cell is mainly determined by its short circuit current density (JSC). Three, the glass substrate is thicker than the coherence length of light, so optical interference in it can be neglected.
\n\t\t\t\tThe optical parameters (n and k) of P3HT:PCBM (1:1 in weight), pBBTDPP2:PCBM (1:2 in weight), ITO, ZnO, PEDOT:PSS and Al used in this work are obtained from literatures [11, 14, 17, 18].
\n\t\t\t\tConsidering current matching, we optimize the thicknesses of the front and back cells for NTSC and RTSC respectively. All the calculations are carried out under AM 1.5G radiation.
\n\t\t\tAccording to the existing views, the optimized PCE can be obtained when the photocurrents of the subcells are matched. Thus, we vary the thicknesses of both the front (dfront between 10 and 250 nm) and back (dback between 10 and 200 nm) active layers to investigate JSC of both subcells.
\n\t\t\t\ta) and b) 3D plots of JSC(front) (magenta) and JSC(back) (green) versus dfront and dback for NTSC and RTSC.
Such a result of the calculation is plotted in Figs. 8 (a) and (b) for NTSC and RTSC separately. JSC for the front (JSC(front)) and back (JSC(back)) cells are shown in the three-dimensional (3D) space as surfaces, magenta and green, respectively. Figures 9 (a) and (b) display the same results as Figs. 8 (a) and (b) respectively, but in a two-dimensional format. In NTSC, the front cell may provide up to a JSC of 11.22 mA/cm2 when dback=10 nm. Whereas when dback increases up to 200 nm, JSC(front) can decrease down to 10.30 mA/cm2. Because the front cell is much far from the mirror Al electrode, JSC(front) scarcely shows any interference oscillation in the variation range of dback. Thus, this 8% loss is JSC(front) not induced by the interference effect but the reduction of the amount of light reflected from the Al surface (and arriving at the front cell a second time) as the thickness of the back cell increases. The variation of JSC(back) is more strongly affected by dfront than vice versa. While for dfront=10 nm, JSC(back) goes up to 15.76 mA/cm2. However, when dfront=250 nm, JSC(back) reduces to 10.29 mA/cm2. This is obviously caused by the absorption spectra overlap of the two active layer materials (see Fig. 7(a)), which reduces photons arriving at the back cell. Because the back cell is much nearer to the Al electrode than the front cell, the interference behavior of JSC(back) is very obvious as shown in Fig. 9(a). Because of the same reason, the same tendency can be observed in RTSC (see Figs. 8(b) and 9(b)). In RTSC, while for dback=10 and 200 nm, JSC(front) goes up to 18.93 and 16.04 mA/cm2, respectively. With the increase of dfront from 10 to 250 nm, JSC(back) decreases from 10.97 to 5.53 mA/cm2. A obvious increase of JSC of pBBTDPP2:PCBM layer and a strong decrease of JSC of P3HT:PCBM layer can be observed in RTSC, compared with NTSC. This is caused by the absorption difference of two blends. As shown in Fig. 7(a), the spectral range of pBBTDPP2:PCBM is much wider than that of P3HT:PCBM (the former absorbs photons in the nearly entire wavelength range discussed while the latter hardly absorbs photons of wavelengths beyond 650 nm). Therefore, when acting as the front active layer, pBBTDPP2:PCBM hinders the harvest of photons in P3HT:PCBM more strongly than that in P3HT:PCBM with pBBTDPP2:PCBM as the back active layer.
\n\t\t\t\t\ndfront\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tdback\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tJsc(front)\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tJsc(back)\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tdfront\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tdback\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tJsc(front)\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tJsc(back)\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t|
6 | \n\t\t\t\t\t\t\t10 | \n\t\t\t\t\t\t\t1.00 | \n\t\t\t\t\t\t\t0.89 | \n\t\t\t\t\t\t\t7 | \n\t\t\t\t\t\t\t10 | \n\t\t\t\t\t\t\t1.06 | \n\t\t\t\t\t\t\t1.09 | \n\t\t\t\t\t\t\t-0.20 | \n\t\t\t\t\t\t
8 | \n\t\t\t\t\t\t\t20 | \n\t\t\t\t\t\t\t1.55 | \n\t\t\t\t\t\t\t1.55 | \n\t\t\t\t\t\t\t11 | \n\t\t\t\t\t\t\t20 | \n\t\t\t\t\t\t\t2.17 | \n\t\t\t\t\t\t\t2.09 | \n\t\t\t\t\t\t\t-0.53 | \n\t\t\t\t\t\t
15 | \n\t\t\t\t\t\t\t30 | \n\t\t\t\t\t\t\t2.64 | \n\t\t\t\t\t\t\t2.57 | \n\t\t\t\t\t\t\t15 | \n\t\t\t\t\t\t\t30 | \n\t\t\t\t\t\t\t3.18 | \n\t\t\t\t\t\t\t3.29 | \n\t\t\t\t\t\t\t-0.71 | \n\t\t\t\t\t\t
58 | \n\t\t\t\t\t\t\t40 | \n\t\t\t\t\t\t\t3.28 | \n\t\t\t\t\t\t\t3.26 | \n\t\t\t\t\t\t\t21 | \n\t\t\t\t\t\t\t40 | \n\t\t\t\t\t\t\t4.26 | \n\t\t\t\t\t\t\t4.35 | \n\t\t\t\t\t\t\t-1.09 | \n\t\t\t\t\t\t
73 | \n\t\t\t\t\t\t\t50 | \n\t\t\t\t\t\t\t4.20 | \n\t\t\t\t\t\t\t4.14 | \n\t\t\t\t\t\t\t32 | \n\t\t\t\t\t\t\t50 | \n\t\t\t\t\t\t\t5.25 | \n\t\t\t\t\t\t\t5.17 | \n\t\t\t\t\t\t\t-1.04 | \n\t\t\t\t\t\t
80 | \n\t\t\t\t\t\t\t60 | \n\t\t\t\t\t\t\t5.21 | \n\t\t\t\t\t\t\t5.22 | \n\t\t\t\t\t\t\t66 | \n\t\t\t\t\t\t\t60 | \n\t\t\t\t\t\t\t6.05 | \n\t\t\t\t\t\t\t6.06 | \n\t\t\t\t\t\t\t-0.84 | \n\t\t\t\t\t\t
87 | \n\t\t\t\t\t\t\t70 | \n\t\t\t\t\t\t\t6.32 | \n\t\t\t\t\t\t\t6.35 | \n\t\t\t\t\t\t\t102 | \n\t\t\t\t\t\t\t70 | \n\t\t\t\t\t\t\t6.75 | \n\t\t\t\t\t\t\t6.73 | \n\t\t\t\t\t\t\t-0.37 | \n\t\t\t\t\t\t
99 | \n\t\t\t\t\t\t\t80 | \n\t\t\t\t\t\t\t7.49 | \n\t\t\t\t\t\t\t7.46 | \n\t\t\t\t\t\t\t109 | \n\t\t\t\t\t\t\t80 | \n\t\t\t\t\t\t\t7.12 | \n\t\t\t\t\t\t\t7.12 | \n\t\t\t\t\t\t\t0.34 | \n\t\t\t\t\t\t
173 | \n\t\t\t\t\t\t\t90 | \n\t\t\t\t\t\t\t8.76 | \n\t\t\t\t\t\t\t8.77 | \n\t\t\t\t\t\t\t110 | \n\t\t\t\t\t\t\t90 | \n\t\t\t\t\t\t\t7.42 | \n\t\t\t\t\t\t\t7.38 | \n\t\t\t\t\t\t\t1.39 | \n\t\t\t\t\t\t
191 | \n\t\t\t\t\t\t\t100 | \n\t\t\t\t\t\t\t9.28 | \n\t\t\t\t\t\t\t9.29 | \n\t\t\t\t\t\t\t107 | \n\t\t\t\t\t\t\t100 | \n\t\t\t\t\t\t\t7.54 | \n\t\t\t\t\t\t\t7.53 | \n\t\t\t\t\t\t\t1.76 | \n\t\t\t\t\t\t
201 | \n\t\t\t\t\t\t\t110 | \n\t\t\t\t\t\t\t9.55 | \n\t\t\t\t\t\t\t9.57 | \n\t\t\t\t\t\t\t102 | \n\t\t\t\t\t\t\t110 | \n\t\t\t\t\t\t\t7.59 | \n\t\t\t\t\t\t\t7.59 | \n\t\t\t\t\t\t\t1.98 | \n\t\t\t\t\t\t
210 | \n\t\t\t\t\t\t\t120 | \n\t\t\t\t\t\t\t9.72 | \n\t\t\t\t\t\t\t9.70 | \n\t\t\t\t\t\t\t96 | \n\t\t\t\t\t\t\t120 | \n\t\t\t\t\t\t\t7.62 | \n\t\t\t\t\t\t\t7.58 | \n\t\t\t\t\t\t\t2.12 | \n\t\t\t\t\t\t
218 | \n\t\t\t\t\t\t\t130 | \n\t\t\t\t\t\t\t9.81 | \n\t\t\t\t\t\t\t9.80 | \n\t\t\t\t\t\t\t89 | \n\t\t\t\t\t\t\t130 | \n\t\t\t\t\t\t\t7.58 | \n\t\t\t\t\t\t\t7.57 | \n\t\t\t\t\t\t\t2.24 | \n\t\t\t\t\t\t
228 | \n\t\t\t\t\t\t\t140 | \n\t\t\t\t\t\t\t9.93 | \n\t\t\t\t\t\t\t9.92 | \n\t\t\t\t\t\t\t82 | \n\t\t\t\t\t\t\t140 | \n\t\t\t\t\t\t\t7.54 | \n\t\t\t\t\t\t\t7.60 | \n\t\t\t\t\t\t\t2.32 | \n\t\t\t\t\t\t
238 | \n\t\t\t\t\t\t\t150 | \n\t\t\t\t\t\t\t10.09 | \n\t\t\t\t\t\t\t10.09 | \n\t\t\t\t\t\t\t77 | \n\t\t\t\t\t\t\t150 | \n\t\t\t\t\t\t\t7.73 | \n\t\t\t\t\t\t\t7.70 | \n\t\t\t\t\t\t\t2.39 | \n\t\t\t\t\t\t
245 | \n\t\t\t\t\t\t\t160 | \n\t\t\t\t\t\t\t10.24 | \n\t\t\t\t\t\t\t10.23 | \n\t\t\t\t\t\t\t72 | \n\t\t\t\t\t\t\t160 | \n\t\t\t\t\t\t\t7.86 | \n\t\t\t\t\t\t\t7.92 | \n\t\t\t\t\t\t\t2.30 | \n\t\t\t\t\t\t
247 | \n\t\t\t\t\t\t\t170 | \n\t\t\t\t\t\t\t10.29 | \n\t\t\t\t\t\t\t10.29 | \n\t\t\t\t\t\t\t70 | \n\t\t\t\t\t\t\t170 | \n\t\t\t\t\t\t\t8.26 | \n\t\t\t\t\t\t\t8.21 | \n\t\t\t\t\t\t\t2.08 | \n\t\t\t\t\t\t
246 | \n\t\t\t\t\t\t\t180 | \n\t\t\t\t\t\t\t10.28 | \n\t\t\t\t\t\t\t10.28 | \n\t\t\t\t\t\t\t68 | \n\t\t\t\t\t\t\t180 | \n\t\t\t\t\t\t\t8.51 | \n\t\t\t\t\t\t\t8.57 | \n\t\t\t\t\t\t\t1.71 | \n\t\t\t\t\t\t
245 | \n\t\t\t\t\t\t\t190 | \n\t\t\t\t\t\t\t10.25 | \n\t\t\t\t\t\t\t10.25 | \n\t\t\t\t\t\t\t69 | \n\t\t\t\t\t\t\t190 | \n\t\t\t\t\t\t\t8.90 | \n\t\t\t\t\t\t\t8.90 | \n\t\t\t\t\t\t\t1.34 | \n\t\t\t\t\t\t
244 | \n\t\t\t\t\t\t\t200 | \n\t\t\t\t\t\t\t10.21 | \n\t\t\t\t\t\t\t10.20 | \n\t\t\t\t\t\t\t72 | \n\t\t\t\t\t\t\t200 | \n\t\t\t\t\t\t\t9.18 | \n\t\t\t\t\t\t\t9.16 | \n\t\t\t\t\t\t\t1.04 | \n\t\t\t\t\t\t
Current matching points for NTSC and RTSC, corresponding to the black dots of the bold lines in Figs. 9 (a) and (b) respectively. Corresponding JSC(front), JSC(back), dback and dfront are all displayed here. The differences between matching JSC of NTSC and RTSC displayed in the same row are shown in the last column (Δ). d is in nm and JSC is in mA/cm2 here.
The bold lines in Figs. 9 (a) and (b) represent the intersection between both surfaces in the corresponding 3D plots, namely, current matching points of the subcells, which correspond to the optimized thicknesses of the active layers. Seen from Figs. 9(a) and (b), it is obvious that a single value for dfront can have more than one counterpart dback along the bold line for RTSC while there is only one counterpart dback for NTSC. This interesting thing leads us to list the optimized active layer thicknesses in Table 2 for NTSC and RTSC, respectively. It can be observed from Table 2 that RTSC shows its superiority in matching JSC when the active layers of both subcells are relatively thin. We note that RTSC can provides a larger matching JSC with a smaller dfront when the device is relatively thin (dback is usually less than 100 nm). But NTSC is better as the thicknesses of both active layers increase, in agreement with the general view presented.
\n\t\t\t\ta) and b) Different viewing angle of the 3D plots shown in
In order to well understand this amazing phenomenon, optical electric field distributions of tandem solar cells should be taken into account. Four current matching points listed in Table 2 are used here: a 58-40-nm NTSC, a 21-40-nm RTSC, a 238-150-nm NTSC and a 77-150-nm RTSC. The reason why we choose these points is that the matching JSC differences between the corresponding NTSC and RTSC reach the maxima in positive and negative, respectively (see Δ, the last column in Table 2). The distributions of normalized modulus squared of optical electric filed |E|2 for the above tandem solar cells are calculated and shown in Fig. 10 (the shadow area indicates the active layers of the front (left) and back (right) cells). As shown in Fig. 7(a), 512 and 600 nm are around the peak and shoulder of the absorption spectrum of P3HT:PCBM respectively while 727 and 809 nm are around two absorption maxima of pBBTDPP2:PCBM. Thus, the cases for wavelengths of 512, 600, 727 and 809 nm are discussed here. By observing optical electric filed distributions of a 58-40 nm NTSC and a 21-40-nm RTSC (both active layers are relatively thin) as shown in Figs. 10 (a) and (b), it is very clear that RTSC has a better optical electric filed distribution in both active layers although it has a smaller dfront, in accordance with the values of JSC shown in Table 2. It can be explained by the properties of the materials and device structures. As shown in Figs. 10 (a) and (b), no matter with which structure, the peaks of optical electric field for light of wavelengths of 727 and 809 nm are usually near or in the front active layer. Since pBBTDPP2:PCBM mainly absorbs light of longer wavelengths and P3HT:PCBM absorbs light of shorter wavelengths, RTSC (place pBBTDPP2:PCBM in the front and P3HT:PCBM in the back) has a better performance when the active layers are thin. However, things become different when the device becomes thicker and thicker. For a very thick RTSC, the first interference peaks for wavelengths of 727 and 809 nm begin to leave the front active layer and then the pBBTDPP2:PCBM subcell is no longer an effective device. At the same time, owing to the much wider spectral range of pBBTDPP2:PCBM, it hinders the harvest of photons in P3HT:PCBM with pBBTDPP2:PCBM as the front active layer. Thus, when the active layers become thicker (dback is usually over 100 nm), RTSC only allows a smaller matching JSC with a smaller dfront compared with NTSC and NTSC shows its superiority. This is in good agreement with the results in Table 2.
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\tIn conclusion, it is observed that RTSC takes over the lead in matching JSC when the active layers are relatively thin; but NTSC allows a larger matching JSC as the active layers are relatively thick. The similar results are also found in the tandem solar cell based on P3HT:PC70BM and PCPDTBT:PC60BM [19]. The results are very interesting since we can choose the thinner RTSC to achieve matching JSC, which can alleviate the carrier transport problem and save the material cost.
\n \n\t\t\t\n\t\t\t
\n\t\t\t
Calculated distributions of normalized modulus squared of optical electric field |E|2 inside a a) 58-40-nm NTSC b) 21-40-nm RTSC c) 238-150-nm NTSC d) 77-150-nm RTSC for four wavelengths of 512, 600, 727 and 809 nm.
The application of the bulk heterojunction structure consisting of an interpenetrating network of electron donor and acceptor materials greatly improves the standalone organic solar cells. Now there are mainly two types of standalone organic solar cells: OSC and IOSC. IOSC is introduced as the possible candidate for OSC to remedy the low air stability of OSC. However, most of the previous works reported that PCE of IOSC is relatively lower than that of OSC. As a result, the performance differences of OSC and IOSC are discussed in this work. It is concluded that in the optical aspect, OSC and IOSC have the same tendency in the number of photons absorbed in the active layer, EQE, and the optical electric field distribution as well as the similar influence of optical modulation effect. Normally, IOSC performs better due to the better light absorption of IOSC because the absorption loss in TiOx layer for IOSC is smaller than that in PEDOT:PSS layer for OSC and the hole transporting layer (MoO3 layer in this work) can play the role of optical layer. However, around the interference maxima of OSC, OSC shows better performance because the optical electric field has been optimized under this condition and there is no room for further improvement.
\n\t\t\tAlthough PCE of the standalone organic solar cell is improved continuously, there are still some drawbacks for this type of devices: First, the organic solar cell is dominated by the excitonic effect, the relatively short lifetime and the low carrier mobility. And these limit the maximum thickness of the active layer for light absorption. Second, most organic semiconducting materials show discrete absorption behavior and cover only a fraction of the solar spectrum, leading to inefficient light harvest. The realization of organic tandem solar cells based on complementary thin absorber materials provides a reasonable solution to improve PCE further. In a tandem cell, to achieve the maximum PCE, it is necessary to ensure current matching of both subcells, which leads to detailed optical simulations in this work. At first, active layer thicknesses of the tandem cell are optimized by considering current matching for normal and reverse structures (see Fig. 7), respectively. Owing to the different spectral ranges of two blend materials (P3HT:PCBM and pBBTDPP2:PCBM) and device structures, it is noted that the reverse tandem cell allows a larger matching JSC when the total device is relatively thin. When the thicknesses of the active layers increase, the normal tandem solar cell begins to present its superiority in the performance. This makes senses in the aspect of application that we can choose a thinner reverse tandem cell to achieve JSC needed in some cases, which saves cost and increases the profit to an extent.
\n\t\tThe work is supported by National Natural Science Foundation of China (61106063) and the Fundamental Research Funds for the Central Universities (K50511250003).
\n\t\tRegenerative agriculture is a farming and land management concept based on several principles and techniques that strengthen and restore ecosystem functions and health. Long-term usage of regenerative agriculture has shown many benefits in terms of quality and profitability for farmers, as well as improving the environment and contributing to the maintenance of a healthy agricultural landscape. Given that it is not always very clear how each action contributes to better agricultural management and drought mitigation, this chapter aims to recall the key elements that farmers must consider in regenerative agriculture in order to have the best results. It should be noted that there is more than one approach that may differ depending on local circumstances, however, the elements described in this chapter serve as a starting point for practitioners and academics who wish to learn more or deepen one of the related domains.
The existence of life is largely dependent on the richness and health of soils, which is why soil structure, together with water availability are the most valuable resources for humanity. The annual degradation of the agricultural lands puts even more pressure on farmers, forcing them to use more chemical inputs and these practices may eventually lead to extreme phenomena such as drought, floods, and eventually soil abandonment [1]. However, both farmers and policymakers continue to be neglecting the need for soil health preservation and they do not take firm restoration measures even when the situation becomes concerning.
Water, minerals, and organic matter combine to make the soil in a natural process. Soil minerals are produced in the process of natural erosion, while the organic matter is formed by the decomposition of plants and other organisms that have died. Many scientists consider soiling a finite resource that cannot be renewed during a human lifespan. We propose, in the present chapter, several techniques used and validated for faster restoration of soil properties, which may help recovery in very shorter time periods, depending on the degree of soil impairment.
Degraded soil is described as a change in the physical, chemical, and biological characteristics that results in a reduced capacity to support plant growth. The most common phenomena that usually occur are related to the fact that soil loses the capacity to deliver nutrients and water, while toxic compounds restrict plant growth, topsoil lacks of organic matter content, subsoil resources are insufficient to support plant roots, the compaction rate is substantially increased, drainage occurs with difficulty, and many of the needed microorganisms are absent.
In most common cases, the quality of the soil decreases as a result of the anthropogenic intervention, while some natural causes are aggravating the circumstances, often leading to erosion. Human activity is the most frequent cause of agricultural soil degradation and for accelerating natural soil erosion. Agriculture has deteriorated the Earth\'s soils during the last 100 years, with disastrous consequences, David R. Montgomery [2] estimates that humanity is losing 0.3% of our global food production each year due to soil erosion and degradation. Soil degradation and loss has been a problem since the beginning of agriculture and played a major role in the demise of past civilization including Mesopotamia, Antic Greece, and the Rome Empire. The element that contributes probably the most to the negative damage to the soil, more important even than deforestation is the plowing activity. Stanford University in a study from 2015 estimated the degradation rate of topsoil worldwide at a rate of 70%, with margins between 54% in Africa and 74% in North America [3]. At this time, there is no allotted restoration period, since we are eroding soil 20 times faster than we are regenerating it.
Degraded soils have a poor health state, reducing the ecosystem\'s ability to provide water and nutrients to plants, and affecting the soil nutrient web. Degraded soils have a weak structure attributable to a lack of soil biodiversity, which causes flooding, erosion, and low production. Water cannot penetrate inferior soil structures, so the rains follow the flow of gravity, transporting major amounts of minerals and salts to the groundwater, rivers, or lakes. During a drought period, there will be no moisture, and groundwater will not be replenished easily. Plants will be stressed, and yields will decrease very fast. In the tropics especially on fertile land, soil deterioration is prevalent. Natural erosion caused by wind, sun, severe rainfall, and poor human management are the most common causes.
It is critical to understand that poor agricultural management before and during a drought has a synergetic effect on soil properties. Land degradation in arid, semiarid, and sub-humid areas may be generated by various external factors including climate change, and draught may lead to desertification. Desertification may be irreversible if not intervened in time, especially when the environment becomes too dry and the soil becomes further degraded through erosion and compaction.
One of the most important hazardous environmental events in recent history was the American Dust Bowl during the years 1930–1936, when large dust storms swept topsoil from significant land areas, making 75% of the original topsoil quality to be lost [4]. Commenting on the American Dust Bowl, US President Franklin D. Roosevelt said “The nation that destroys its soil, destroys itself”, a remark that is still relevant to modern crop management practices.
Storms, torrential rains, floods, and droughts are becoming more frequent and intense as a result of climate change. Every year, soil deterioration worsens, plants get stressed, and yields decrease. Soil management is, therefore, an essential element of sustainable agriculture.
Proper regenerative soil management will slow down or stop soil degradation and start to rebuild soil fertility. Management should be focused on obtaining healthy and superior plants that do not need intense chemical treatments since it is proven that a high immunity system protects crops from diseases and insect attacks. Increasing plant immunity will be pointed out in high yields, quality products, plants will get increased resistance to diseases and pest attacks. At the same time soil will become healthier, full of nutrients with an active and rich soil food web. Healthy soils with a balanced nutrients ratio, promote biological high activity and replenish groundwater, and will help the plants to withstand better the drought. To stop soil degradation, special attention must be paid to the phenomena that produce natural erosion, and rejuvenate the soil, while human activities have to change rapidly. Soil regeneration practices sequester an important part of the required amount of carbon in the soil, allowing mankind to maintain control over climate change. Soil carbon allows the land structure to function as a sponge, each gram of carbon-absorbing 8 grams of water. In addition to the positive effect on the mineralization process, carbon helps to build the soil structure, which aids in the supply of air, water, and nutrients to plants. Plants, in response, emit liquid carbon from their roots, increasing, even more, the synergies and water absorption. This phenomenon occurs more frequently when aggressive tilling works are avoided, and the synthetic fertilizer and synthetic biocides application are not used. The techniques, if they are applied indiscriminately have the opposite result, eliminating the carbon. Figure 1 depicts the most common approach to regenerative agriculture at three levels of management: acknowledge the objectives and benefits, comprehend the fundamental concepts, and put the best practices into action.
A simplified approach to regenerative agriculture implementation.
Regenerative agriculture requires a complete redesign of the farming system, as well as a shift in the procedures and metrics used in traditional agriculture, and a longer-term commitment of farmers.
FAO [5] defines soil degradation as a change in the soil health status, resulting in a diminished capacity of the ecosystem to provide goods and services for its beneficiaries. Degraded soils have a state of health that prevents them from generating the standard products and services in a given ecosystem. Soil degradation is caused by unfavorable interaction between physical, biological, and chemical soil characteristics, accelerating erosion, and leading to poor drainage, salinization, nutrient imbalance, decrease in soil organic matter, and suppressing biology. Physical soil deterioration includes changes in soil structure (crusting, compaction, etc.), imbalance in water content and air ratio, leading to extreme surface temperatures. Chemical soil deterioration includes nutrient leaching, fertility depletion, or even toxicity. Biological deterioration includes a decrease in the microorganism population and a drop in their activity, as well as, a severe reduction of organic matter content. Degraded soil is being studied at specialist institutions in nearly every country, and warnings are coming from all across the scientific world [6, 7, 8].
Major causes of soil degradation are divided into natural, as climate variations (soil degradation caused by wind, sun, drought, or heavy rains favoring the fertile soil to be washed away) and anthropogenic activities (overgrazing, deforestation, excessive use of chemicals fertilizers, pesticides, herbicides, bare soils, excess of tillage, overdraft of groundwater, etc.) [9].
Conventional agriculture is considered to be one of the biggest contributors to soil degradation [10]. After Second World War, the Chemical Industry provide agriculture with new and advanced chemical formulas used as fertilizers, herbicides, and pesticides. The first results showed great success for everyone; however, the long-term effects were not anticipated since they have affected over time the soil structure and soil food web. Over few decades, the soil became degraded, plants are now mostly unhealthy, animals and humans experience unexplained medical conditions, and yields are going down every year. Chemicals use and tillage technology are producing the most detrimental influence on soil deterioration; as a result, their usage must be closely monitored and, if possible, avoided.
Farmers, working in conventional agriculture, that usually apply intensive chemical technologies, come across many harmful practices like those described below. The practices described in this section aim to draw attention to the most common activities that farmers do voluntarily or unknowingly, which may lead to soil degradation and floods.
In Romania only a few farmers perform soil analysis annually, the majority of them use a standardized technology learned from books or advice from chemical companies. Soil parameters analyzed in a laboratory report do not contain enough information, the evaluation gives most often information regarding land chemistry, but ignores several important physical and biological properties. Sustainable agriculture changes the view of soil performance and soil quality [11]. Farmers need to invest more in complete soil assessment and perform some measurements by themselves, like soil acidity (pH) or soil conductivity (EC). The Haney report is another good analysis report that offers information about soil health, microbial respiration, water-extractable organic carbon, water-extractable nitrogen, etc. Haney soil test report offers farmers additional values to improve plant-available nutrients and estimate the soil health as related to carbon (C), nitrogen (N), and phosphorus (P) cycling [12].
Topsoil is being washed and lose its properties, microorganisms die, while its structure degrades. Uncovered soil favors natural soil erosion generated by rains, sun, or wind [13]. Soil loss of moisture and high soil temperature suppress bacteria and fungi living in the soil. In this environment, weeds germinate easily, and farmers cannot control them without using highly aggressive herbicides [14].
Tillage works as plowing and disking suppress the fungi network, appear losses the soil moisture, and may destroy soil structure [15]. Plowing is creating the hardpan at 15–30 cm deep. Hardpan is a compact layer of soil below the soil surface that inhibits roots movements through the soil [16]. Water is moving gravitationally on the hardpan, forming ponds, and soil gets salted [17].
Synthetic fertilizers suppress biology [18], contributing to soil compacting, loss of fertility, and humus total rate decrease. Plants are using only 15–30% of total inorganic fertilizers, while the rest is leaching in lakes, rivers, groundwater, etc. Accumulation of nitrogen in groundwater has different sources, being caught in irrigation lakes [19, 20]. As groundwater is the main source of drinking water, contamination poses several human health problems. At present in the United States of America, there are used 20 times more chemicals than in the American Dust Bowl period, and soil degradation continues dramatically.
Using in excess a specific nutrient especially N in a cation form, inhibits absorbing others nutrients cations as calcium (Ca), potassium (K), sodium (Na). The nutrient balance is one of the most important factors in plant nutrition [21, 22, 23], when plants receive too much N, during a 24 h photosynthesis process, N under forms of nitrate (NO3) or ammonium (NH4), is not transformed into proteins and became attractive for insects [24]. Excesses of N develop elongation, delay maturity, change biochemistry, cause plant stress and make plants vulnerable to drought [25].
Monoculture is not resilient to climate change, soil is losing carbon, while carbon dioxide (CO2) is increasing in the atmosphere. Monoculture is a source of scarcity because the diversity principle is strongly affected [26]. Monoculture combined with bare soil practices decreases the fertility of agricultural lands dramatically [27].
Groundwater overdraft is related to a dry aquifer, loss of water in streams and lakes, soil compacting, and polluted groundwater [27, 28].
If the biology of the soil is ignored in drought years, is a major problem, since the soil loses nutrients and water, putting plants under a high level of stress. The plant\'s nature enables to fill in the gap of water and nutrients. In recent decades, scientists from many laboratories have studied the interactions between microorganisms and plants, and they have concluded that the soil food web plays the most important role in plant nutrition [29].
In the last decades\' scientific reports demonstrated that micronutrients are as important as major elements, the only difference is the needed quantity. Micronutrient deficiency is widespread in the world due to low organic matter, bicarbonate content in irrigation water, long time of drought, and imbalanced application of fertilizers. Micronutrients application contribute to plant health, soil health, and increase yield by up to 15–50% [30, 31, 32].
There is no special interest nowadays in the quality of the products obtained in conventional agriculture [33]. Healthy plants that are resistant to illnesses, insect attacks, and drought are used to produce high-quality products, while also improving yields. Highly nutritional plants have a substantial positive impact on soil health [34], animal, and human health.
Regenerative Agriculture is organic agriculture, using only natural available resources. In organic agriculture, farmers are certified if they produce non-GMO plants without using synthetic chemicals, approaching soil conservation and preservation for biodiversity. Farmers are allowed to use only inputs from certified organic agriculture. In 2018, at Rodale Institute was introduced for the first time a new higher standard for the farmers working in a regenerative system called Regenerative Organic Certified (ROC) [35]. Regenerative Agriculture is the way to sustainable farming practice, regenerate soil fertility, grow healthy plants that create healthy soils, less sensible to draught. Using methods from Regenerative Agriculture technology, carbon is sequestered in the soil, soil structure and soil fertility improve, water retention, and crop yield increase, while drought and flood ameliorate [36]. Regenerative agriculture can be defined by a holistic system approach that starts with the soil characteristics and also includes the health of the plants, animals, farmers, and community. The main aims envisage to regenerate topsoil, restoring degraded soil biodiversity, enhancing ecosystem services, improving water cycling and improving the resilience of soil to extreme weather. Regenerative Agriculture focuses on improving soil health by following four main mandatory principles and one optional. All specialists in Regenerative Agriculture accept the four principles that include soil cover, living roots, biodiversity, and minimalizing soil disturbance. The last principle which is the integration of animals is partially accepted and can be even more important in a few specific situations.
Everything plants need is cycled by soil microorganisms before becoming available to plants\' roots. Earth life is based on photosynthesis, a process that transforms photonic energy into chemical energy. It varies, depending on the availability of light, water, carbon dioxide, chlorophyll concentration, and plant nutrition. Photosynthesis is the most efficient cycle and sustainable process in nature [37, 38], and it is the engine we can rely in Regenerative Agriculture. Farmers know that water, nitrogen, and high-temperature influence the photosynthesis process. During drought, plants switch from photosynthesis to photo-respiration process, when are consuming their reserve of proteins [39]. To avoid this happening, proper management has to be used that optimize nutrition. When monitoring fields frequently, one should notice nature needs [40].
Only a limited mechanical, chemical, and physical disturbance of soil is permitted. Tillage destroys soil structure, resulting in bare or compacted soil that is destructive to soil microorganisms and creates a hostile environment for them. Soil stability is a quantitative indicator of soil health that is based on a mix of biotic and abiotic soil parameters. The impact of physic and chemical qualities on soil resistance and resilience is mediated by the microbial community [41]. Living organisms in soil improve the structure, create pore spaces that allow water and air to infiltrate the soil. Intensive tillage destroys macro and microorganism habitat, disrupt the fungi hyphae and soil aggregate.
Synthetic fertilizers, herbicides, pesticides, and fungicides suppress life in the soil, having a negative impact on soil fertility. Inputs application disrupts the symbiotic relationships between fungi, bacteria, and plants roots. Overgrazing is a form of biological disturbance that reduces roots mass, increases soil temperature and runoff. All forms of soil disturbances affect microorganisms and diminish the soil food web.
The principle is oriented toward keeping soil covered at all times, especially by setting up cover crops or intercropping. This is a critical step toward rebuilding soil health because bare soil is not a normal state, nature always works to cover the soil surface. When providing a natural vegetal shield, the soil is protected from wind and water erosion, while providing foods and a habitat for macro- and microorganisms [42]. It will also prevent moisture evaporation, reduces temperature, intercepts raindrops, and reduces germination of weed seeds. Soil cover offers a habitat for soil food web members that spend some of their time above ground. Keeping the soil cover on allows microorganisms to break down leftovers while recycling nutrients back into the soil.
Nature aims for the diversity of both plant and animal species. Farmers should do the same, since monocultures are present only where humans have established them. The preservation, conservation, and restoring biodiversity should be a priority nowadays. Biodiversity is a major determinant in ecosystem stability, productivity, and nutrients dynamics. High diversity can be twice as productive as monoculture [43]. Different plant species use carbohydrates to feed certain microorganisms in return for water and nutrients via their roots. Biodiversity of plants is required to support the biodiversity of microbes. Each microorganism plays a specific role in maintaining soil health, and diversity enhances ecosystem functioning [44]. The key to improving soil health consists in a soil food web that is populated with several types of plants and animals. A fully functioning soil food web provides nutrients, water, energy, and allows the soil to express its full potential. The diversity has to be increased using crop rotation and cover crops.
Living roots have to be maintained in soil as long as possible because they are feeding soil biology by providing basic food source carbohydrates [45]. This biology feeds plants with water and nutrients, having the capacity to store nutrients and water that will be provided during drought. Farmers within conventional agriculture used to think there are 120 days to rest soil until the growing season. It is now considered wrong since living plants continue growing into early winter and break biological dormancy earlier in the spring. Their roots are feeding soil organisms and keep the biological population at a high rate. Healthy soil is dependent upon how well the food web is fed. Providing food to soil microbes helps them cycle nutrients that plants needed to grow.
Nature does not function well without animal organisms. Integrated livestock into an operation provides many benefits. The major benefit is that grazing stimulates the plants to pump more carbon into the soil. This drives nutrient cycling by feeding biology, also has a major positive impact on climate change by cycling more carbon out of the atmosphere and putting it into the ground. Pasture cropping is another way of practicing regenerative agriculture for growing food and restoring degraded soil. Farmers should provide a home and habitat not only for farm animals but also for pollinators, predator insects, earthworms, and all the microbiology that drive ecosystem function.
Monitoring the field every day is also a key factor in keeping plants healthy. Checking the soil compaction, earthworm activity, soil structure, erosion risks, poor crop growth, etc., and keeping a recording of everyday activity helps the agricultural management system. Minimum information recorded are data, weather, fertility and irrigation program, yield, insects attack, diseases, etc.
There are different technologies according to these principles that are already used by some farmers. The most commonly used are the NO-TILL or STRIP-TILL, but they are rather used for profit maximized than for reducing drought effect and regenerating soil health. NO-TILL is studied in many countries, over a long period of years, concluded that is a big step forward [46]. However, these technologies are included in regenerative agriculture methods of growing plants during drought. A special part that is additional to these methods in regenerative agriculture, concerns breaking the hardpan and biological inoculation.
Drought stress is reduced when plants are healthy and thrive in healthy soil. For plants to overcome the draught on degraded soils, a new management strategy is required. Water, balanced nutrients, and biology are the three most important requirements for plants. Plants that are well-managed produce soil that is rich in humus. Growing healthy plants to overcome the drought and the elements that impact the process are provided in the appropriate sequence.
The field control has to begin in the autumn before the new agricultural year begins. Weeds like quack grass and foxtail can be found in dry clay soil, indicating calcium deficits and compact soil. Mow the grasses and compost the cuttings into the soil to help with calcium deficits. Broadleaf weeds, like ragweed, indicate copper deficiencies problem, and a phosphate/potassium imbalance. The rate between phosphate and potassium should be 2/1 for row crops and 4/1 for grass crops. Succulent weeds increase soil water capacity, replenish carbonate ions while covering the ground to protect against soil erosion. Weeds role is to deposit nutrients and metabolites in the soil or rearrange the nutrients existing in the soil. There is plenty of information in the literature about weeds role and weeds usage as a soil indicator [47, 48, 49]. This information is important to design a fertilization plan, in order to balance the nutrients. Herbicides must be avoided as much as possible since weeds get resistant to synthetic inputs, plants get unhealthy while the microbial population will decrease. Brix index in plants leaf must be measured before foliar application and 2 h after. After a few foliar applications, the crop will thrive and weeds will be attacked by insects and diseases, and not the established culture. As the nutrients are balanced, pH changes and weeds are under control.
Hardpan management is the compact layer of soil just below the ground surface. Excess plowing leads to soil moisture loss by evaporation [50]. Avoiding working with moldboard plows, farmers must use instead a strip subsoil breaker in the first year to break the hardpan and apply a NO-TILL technology in the next years. Hardpan reduces the soil depth for plants roots and enhances soil waterlog. Plant roots grow in the surface layer reducing access to water and nutrients.
Well, aggregate soils are rarely found, usually, soils are crusted, compacted in layers or plow pans [51]. The agricultural year start in autumn and farmers first issue should be checking the hardpan with a penetrometer. After that, has to be measured the distance from soil surface to hardpan and hardpan thickness. If hardpan thickness is more than 5cm, then must be used a subsoil strip breaker. Soil improvement usually includes subsoil adding biological fertilization to break the hardpan and inoculate with microorganisms (bacteria, fungi) at the same time. Breaking the hardpan will allow water and nutrients to infiltrate deep in the ground, while microorganisms will keep the moisture and nutrients for a long period. Underground water and nutrients are stored naturally and through capillarity, the plants have access to water and nutrients during the drought period. In order to maintain the microbiology alive, they should be multiplied by feeding them and keeping constant moisture and temperature in the soil. In time, they will improve the soil structure, porosity, and the humus percentage will increase. In the photosynthesis process plants secret carbohydrates (sugar) and protein through the roots, which are food for bacteria and fungi. Bacteria and fungi are eaten by bigger microorganisms like nematodes and protozoa. Plants are thriving in such an environment even in drought conditions. With a restored soil food web, plants can control the water and nutrients cycling in the rhizosphere neighborhood. A restored food web reduces irrigation and tillage requirements, provides protection against pests and diseases and inhibits weeds. Pesticides and herbicides are not required, since applying these methods yields and farms profitability will be increasing.
Living life provides soil structure that resists wind and rain erosion. The first step will be in accordance with principles to use no plowing or disking, by implementing a no-till system. Figure 2 compares three types of agricultural soil processing: in the first plan the work was performed with soil loosening equipment, in the second plan it is proposed the minimal processing technology by breaking the hardpan, and in the third plan a plowed land is highlighted.
Comparison between three types of agricultural soil processing: soil loosening equipment (first plan); minimal processing technology-hardpan breaking (second plan); plowing (third plan).
The proposed technology within INMA institute is performed with an equipment that can be carried by an agricultural tractor, that cut the soil linearly without overturning the furrow, break the hardpan, and inoculate the ground with beneficial microorganisms. An active microorganism life restores the soil food web, which keep the pore open. This could be the first phase in rebuilding a healthy soil and ecosystem.
Amendment and treatments have a significant effect on soil\'s physical and chemical properties and increase microbial activity. Amendments improve soil water retention and soil structure as permeability, drainage, air holding capacity, etc. Soil acidity is potentially serious land degradation, acid soil is crusted and compacted, requires calcium, phosphorus, and minerals. The recommendation is to apply on soil a minimum 200 kg of lime and 200 kg of soft rock phosphates per hectare every autumn and spring during the first 2–3 years. These small quantities are recommended only in soils with degraded food web, or if microorganisms are being incorporated into the soil. Microorganisms are highly important because they break down the amendments and make them available to plants. High quantities of minerals suppress microorganisms. The amendments are spread best in autumn, before planting the cover crops and in spring before planting the main crop. Any other nutrient must be added as a result of the soil analysis. Organic amendments like compost or vermicompost have a benefic effect, increasing macro and micronutrient, organic matter, physical, and chemical soil properties like pH and EC. Humic acid found inside vermicompost, improves phytoremediation of soils contaminated with heavy metals [52]. Vermicompost soil amendments combined with foliar fertilizer, based on vermicompost, reduces the period to regenerate the soil fertility. Vermicompost can be produced in every farm, is cheap and have a tremendous effect on plants that grow during draught.
Plants need minimum 17 mineral nutrients divided into macro- and micronutrients to grow and complete plants\' life cycle. Each of the nutrients perform specific functions within the plant and the amount of each needed by the plant depends on what role the plant has each element [53, 54]. Microelements are needed in a small amount, but they are as important as macro-elements. Micronutrient deficiencies induce stress in plants, cause yield losses, resulting in poor health for animals and humans [29]. Supplying plants with micronutrients, through soil application or foliar spray, increases yields, produces higher quality, but also increases macronutrient use efficiencies. Micronutrients application is cheaper and needs less labor and transport because there are small quantities to manipulate. There are nine macronutrients nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulfur (S), carbon (C), oxygen (O), and hydrogen (H) from which conventional agriculture is using six, but focus only on three N, P, K. Farmers in conventional agriculture, concentrating on NPK, can deliver excellent yields in irrigated conditions or rainy years, but less quality is usually obtained. Finite products, full of nutrients, for healthy animals and humans, are obtained when plants absorb balanced nutrients. To design a fertilizer plan, one need proper knowledge of the interaction between nutrients [55]. The key to controlling the mineral nutrients is restoring the soil food web. First-year must fertilize with biofertilizers and 70% of the recommended macronutrients N and P to obtain better yields and better-quality crops, low nitrate and nitrite levels in crops [56]. In two-three years, with a soil food web restored, microorganisms will takecare of plant nutrition, bacteria will fix the nitrogen in the soil, while other specific bacteria will solubilize the needed minerals. Biofertilizer is keeping beneficial microorganisms in the soil healthy and allow plants to overcome the drought [57].
Organic fertilizer is added to the soil to improve soil structure, feed both the plants and microorganisms. Microorganisms break down the organic materials and release nutrients slowly to the plants. Organic fertilizers increase soil\'s ability to hold water and nutrients. Solid organic fertilizer made from bat guano, fish meal, or manure can be spread on the soil before planting the main crop. Liquid fertilizer can be sprayed on soil or leaves. Chelated liquid fertilizer should be used for a slow-release technique. A cheap method is to spread the fertilizers in furrows, in this way, it will produce the same effect, but the quantity needed is much less (approximately 20–30% of the total quantity needed).
Seed inoculation is a cheap and beneficial tool to grow healthy plants, considering that each plant has a group of bacteria or fungi that work in association with the plant roots. The colonization of plants roots by associated bacteria and fungi result in better performance than plants colonized by the wild population of microorganisms [58]. Inoculations have to be performed for both the main crop and cover crop. Inside the cover crop, there have to be various legume seeds that can be inoculated with nitrogen-fixing bacteria. No need to fertilize the soil with nitrogen if seeds are inoculated with these types of bacteria [59, 60]. Biological control agents protect seedlings from disease as fusarium, pythium, etc. [61]. Arbuscular mycorrhizal fungi play an important role in plant growth. Corn inoculated with arbuscular mycorrhizal have a higher phosphorus absorption, increases vegetative biomass and grain yield, especially in low or medium available phosphorus [62].
Soil food web is a new model of soil fertility based on biology. This new model works better, presenting a lower cost, preventing diseases, do not pollute and use minimal chemical inputs [63]. Microorganisms are the link between water, nutrients and plants. Plants are in control of a viable soil food web, and exudates, in the form of carbohydrates and proteins, attracting specific bacteria and fungi. Bacteria and fungi consuming root exudates are at the bottom of the soil food web. Bigger microbes, nematodes, and protozoa are consuming bacteria and fungi, and are excreted as nutrients right in the rhizosphere. Protozoa and nematodes are eaten by arthropods. Arthropods may eat other arthropods or they might be eaten by snakes, birds, moles, etc. Worms, insect larvae, and moles are moving through the soil, in search of food, creating pathways and letting water and air enter. Members of the soil food web bind soil particles together, create tunnels for air and water to help create soil structure. Soil food web has a natural design and presents seven major benefits such as diseases suppression, nutrients retention, increase mineral nutrient availability to plants, improve soil structure, decomposition of toxic chemicals, production plant growth, and improve crop quality. Microorganisms and other soil food web members release root growing hormones. These growth hormones help the plant to cross the draught or a flood and increase yield.
The presence of plant cover crops in the agricultural system aids in the production of large amounts of biomass. This boosts the soil\'s organic content, improving fertilization. The physical, chemical and biological qualities of the soil are improved by maintaining permanent cover crops, and in time, contributing to the restoration of its health. It is recommended to use biodiversity, which include at least one species of leguminous plants. Inoculation has to be achieved with nitrogen-fixing bacteria, especially for leguminous plants. Then the amendments can be spread and may plant various cover crop seeds. Incorporation of amendments can be done with a disk harrow, while the cover crops may consist of oats, rye, buckwheat, radish, mustard, vetch, clover, etc. Plants\' biodiversity will attract various bacteria and fungi, each plant species attracting its own specific microorganisms. In this way, the soil food web will be restored sooner and better. Cover crops have to be chopped or mowed in spring before full bloom, and a minimum of two weeks before planting the main crop. The cover crop will maintain the soil moisture, while soil temperature will not vary too much during drought or between day and night. After mowing, cover crops are used as mulch. Raindrop energy will be dissipated by living crops and mulch, and in this way, erosion will be under control. Cover crops are being decomposed by fungi and bacteria. Another advantage is that in winter cover crops are one of the best options to defend against topsoil loss due to erosion. If it is managed correctly, the decomposition of cover crops by bacteria and fungi provides nutrients to the main crop (cash crop), while biodiversity of cover crop suppresses weeds, prevents NO3 leaching and produces above-ground biomass N [64, 65]. Plant diversity helps to reduce pathogens, pests, and weed invasion, reducing the need for insecticides and pesticides.
A diversified crop rotation enhances soil structure by varying the length of planting zones, allowing for better water penetration. Different crops with varying nutrient requirements, as well as waste products, will help to create a more balanced and resilient soil ecosystem. The duration of these rotations is usually between 4 and 6 years.
When sowing, it is recommended to inoculate the main crop seeds with different solutions based on microorganisms and nutrients. The seeding should start in spring, two weeks after mowing the cover crops and apply foliar fertilizer during the critical point of influence. Each crop has different important phases that may be influenced by inoculation with microorganisms: when planting (to enhance germination), strengthening plant structure, growing the fruit and finishing fructification. Foliar fertilizer must contain at least calcium, manganese, boron, zinc, amino acids. Balance calcium with potassium starting filing fruit point of influence and replace calcium with potassium at the finishing fruit. Get the maximum feedback from the plant when adding biology in the fertilizer solution. A healthy plant will cross the drought. Harvest the corn seeds, but let the corn stalk on the soil to be decomposed by fungi and bacteria.
Foliar application is the most efficient and cheap way to grow healthy plants. Growing healthy plants increase the immune plants\' system, get resistance to diseases and insects attack, plants can cross the drought. In order to grow healthy plants, increase the photosynthesis process from 2- to 3 times by using the right foliar fertilizer solution. Aerated compost tea is a foliar biofertilizer with a benefic impact on plant growth [66]. Inside the aerated compost tea add other nutrients needed by plants.
A complete foliar fertilizer contains clean water, mineral nutrients, microorganisms, plant bio-stimulants, bacteria bio-stimulants, fungi bio-stimulants, and inoculants. It has a synergetic effect on plant growth. Plant reaction is tremendous, especially in degraded soils.
Water is the most important ingredient in foliar fertilizer solution. Using poor-quality water can determine a loss of 50% from the effect of the foliar solution. Do not use water from ponds, lakes, or others sources without water analysis tests. Good water for foliar application has less than 70 ppm, pH between 5.2 and 6.5, electrical conductivity EC between 1.6 and 2.8 ds/mm and temperature between 58 and 78 degrees Fahrenheit. For best results use rainwater or reverse osmosis water. Municipality water is usually unsuitable for foliar recipes because of the chlorine or chloramine, with high pH and potentially hardness.
Foliar solution when humidity is high has to be applied in larger particles (not fine spray), so the liquids remain on the leaf surface a long time without drying out. Sprayers with large droplets make a huge difference. The farmer should measure the effect of the foliar solution before application and 2 h after. If Brix reading is 2 points higher, the foliar solution is good and could apply on the entire field. A diagram of the Brix index reading should be done for every crop. Around 8 o’clock in the morning, after collecting healthy old mature leaf samples from 10 to 20 plants, they are squeezed on a refractometer.
In the Brix diagram example, the values are starting from 5, increasing to 9 at the first foliar application, but dropping after a few days to 6. After repeating the foliar application, the Brix index increases to 11, but drop in a few more days to 7. Every time when a good foliar application is applied, the Brix readings are higher and has been found that when Brix values are over 12, the plants present a health status that helps them overcome more easily the drought.
A refractometer gives general information about plant health, but for more information including nutrients balance, a sap analysis is necessary. Plant sap analysis provides 21 nutrients parameters values that enable farmers to optimize the crops\' fertilization plan. The information is valuable because the uptake of plant nutrients are revealed in a few hours, the increasing performance can be tracked graphically, similar to the example shown in Figure 3. To a better understanding, one can compare a sap plant analysis with human blood analysis. A plant sap analyze tells the current uptake of nutrients, excesses or deficiencies of nutrients long term before can be seen on a plant leaf, plant reserves of nutrients, nutrient imbalance in soil, what nutrient plant can use at that moment for its own growth, or even fruit quality [67]. Sap analysis laboratory in less than one week will provide the analysis sheet with a fertilizer plan recommended. A balanced mineral uptake increases plants\' health that gets resistant to diseases and insects attack and crosses the drought.
Example of the variation of the Brix index for tomato juice, for a period of 30 days.
Water is the most important nutrient for plants. A source of water is critical for drought years, but as long as the regenerative methods presented are met, plants can cross the draught without an irrigation water source. Knowledge of irrigation water quality is critical in understanding long-term soil management. The most influential water parameter is the salinity measured by electrical conductivity EC [68]. High sodium related to calcium and magnesium contends, in irrigation water, causes surface crusting, pore plugging, swelling, and dispersion of soil clay. The acidity or basicity of irrigation water is expressed as pH. Normal irrigation pH is between 6.5 and 8.5. Specific ions like boron, sulfate, chloride, and nitrate, may affect plants grown. An irrigation water analysis is required.
Keep a crop rotation, with cover crop intermediate, for minimum 3 years after starting your regeneration soil program. After concluding that the soil food web is active and the soil is healthy crop rotation is not as important anymore, since biology will take care of plant nutrition and will suppress diseases, insects attack will decrease.
Aerated compost tea, produced by a compost tea brewer, allow microorganisms to be extracted from compost and multiplied. The result consists in beneficial aerobic microorganism production that provides plants with nutrients and helps build the soil food web [69]. The tea is used for spraying both the leaf and soil. Vermicompost is also used to avoid pathogens. Red worm castings are free of pathogens. There are farmers, involved in regenerative agriculture, buying different products that contained few families of fungi and bacteria, but inside aerated compost tea there are thousands of families. A compost tea brewer can be purchased or can easily be built. All a farmer needs is a tank, an air pump, a hose, and an air splitter distributor. To brew the compost needs clean water, vermicompost, mineral nutrients and bio-stimulants for plants, bacteria and fungi. Brew all these ingredients for 24–36 h, then measure the pH and EC. If pH is higher than 6.5 must add 100–300 ml of vinegar and measure again. When measuring EC a few hours before stopping the air pump, If the values are too low must add more vermicompost. The tea has to be used within 4 h after the air pump stops, to improve the synergetic effect on plants and soil [70].
Good and efficient management of animal grazing can rebuild soil health. This is a way for a healthy ecosystem, farm profitability, human health, food system resilience. Studies that use a complementary approach to animal husbandry with organic farming use found that adopting some grazing strategies could regenerate the soil and make them more profitable. Holistic management of livestock management includes grazing, land, and financial planning and ecological monitoring.
Agroforestry can provide suitable tools for landscape restauration because it can enhance physical, chemical, and biological soil characteristics. Agroforestry is restoring and increasing land productivity because the presence of the trees can fix nitrogen, stabilize the soil, reduce soil erosion, increase fertility, and regulate water available in degraded lands.
Trees increase fertility by retrieving nutrients from deeper soils and adding them to the soil surface through the leaf litter. Because of their deep root system, trees prevent nutrients from leaching, combat soil salinization, and acidification. The use of trees with fixing-nitrogen bacteria is increasing crop productivity. Experiments in Zambia, for example, showed that maize yields increased by 88–190% when grown in an agroforestry system under a canopy of
Trees can reduce and prevent soil erosion planted in windbreaks trees protect soil from erosion and increase yield.
Agroforestry buffer strips increase water runoff, and soil evaporation and increase water infiltration and water retention capacity, helping plants to cross the drought.
Minimum instrumentation required to grow healthy plants and cross the draught more easily is the penetrometer, refractometer, pH-meter, EC-meter. A penetrometer is the first instrument to be used in an agricultural season to measure soil compaction. The penetrometer is a device used to measure the resistance of soil to a vertical force. The penetrometer can determine the depth of the hardpan and help producers to determine if a subsoil is in need.
Refractometer measure Brix index values for liquids. Brix values indicate the total soluble solids. The refractometer is widely used in measuring the quality of the grapefruits and the time to harvest. The refractometer can be used to evaluate the overall assessment of plant health. Healthy plants with a minimum 12 Brix readings are resistant to diseases and insect attacks.
Soil pH-meter is used to measure the acidity or alkalinity of soil. The values give information about the balance of the nutrients found in the soil. However, can be also used as a pH meter for liquids, and determine pH when adding 5 parts distilled water on 1 part of the soil.
EC (electrical conductivity) meter is used especially to estimate salinity levels. A high level of salinity reduces the plant\'s ability to take up water. For assessment is being used 5 parts distilled water and 1 part soil to determine the values of salinity in mSiemens/cm. In clay soils, values are between 0.2 and 1.0 mS/cm, but different plants tolerate different values.
During drought, when air temperature became too warm, plants switch from photosynthesis to photo-respiration and begin consuming their inside proteins. Healthy plants with a waxy sheen, on the leaf surface, have a cooler leaf temperature than plants with a lack nutritional integrity. Foliar applications with teas made from compost, with the addition of 3 L of molasses per hectare, during and after the drought, is a very good practice.
Regenerative agriculture is focused on farming techniques with the primary goal of regenerating the land, particularly increasing the organic composition in order to improve fertility. This strategy conserves and restores soil organic matter, thus, influencing the development and prosperity of micro- and macro-organisms with beneficial results against soil erosion and drought.
Farmers may be forced to adopt unsustainable practices due to economic pressures, as they rarely have enough ability to deal with the conditions imposed by larger corporations, that control prices and credit. As a result, agricultural policies must be implemented at the national level to assist farmers and ensure they are not compelled to deplete the resource that provides them with a means of subsistence.
Regenerative agriculture is based on a holistic approach that places the land at the core of the process to produce efficiently and sustainably a synergy between the soil, the animal world, and the plant world. This enables the development of food chains between all three ecosystems, while the restoration of soil health is ensured by the balance and diversity of species found within the environment.
Climate change is no longer a myth, but a fact and the consequences are becoming increasingly severe every day, influencing the drought phenomena. Every year, topsoil is leaching, soil gets compacted, crusted, loses the ability to supply nutrients and water to plants. Degraded soils, in drought conditions, are not able to support plants with the required water and nutrients, while yields decrease dramatically. In order to reduce the drought effect, farmers have to integrate their use of regenerative agriculture principles and methods, focusing on growing healthy plants and getting rewarded with good yields and increased farm profitability.
Water retention in agricultural lands is associated with soil organic carbon and is influenced by soil health. Soil organic carbon increases the percentage of water retention because carbon acts like a sponge that absorbs moisture. Regenerative management practices such as minimum tillage, cover crops, inoculation with microorganisms, mulching practices, nutrients cycling, maintenance of an optimal balance of organic fertilizers, foliar application, and other methods help to increase soil organic carbon. This strategy restores degraded soils, enhances biomass production, purifies groundwater, reduces the rate of CO2 emissions into the atmosphere and increases the percentage of water being retained in the soil.
An active soil food web is the link between water, nutrients, and plants. Healthy soils have an active soil food web that presents many benefits such as diseases suppression, nutrient retention, improve soil structure, making mineral nutrients available to plants, decomposition of toxic materials, improve crop quality. Soil food web works in synergy with plants and helps crops to overcome more easily drought or floods.
The primary goal of this technology is to grow healthy plants on a worldwide scale. Healthy plants achieve synergies with the soil and improve its health, recover carbon in the soil, increase water retention, and improve soil structure and nutritional status. Drought years will be more profitable for farmers using regenerative agriculture technology, since organically grown cereal prices will be higher, resulting in greater average yields. In a short period of time, farmers using regenerative agriculture technology will spend less money, yields will grow, profitability will increase, soils will regenerate, and drought years will become less risky.
In line with the Principles of Transparency and Best Practice in Scholarly Publishing, below is a more detailed description of IntechOpen's Advertising Policy.
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