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Alejandro Isabel Luna Maldonado

Universidad Autónoma de Nuevo León Mexico

Dr. Alejandro Isabel Luna Maldonado received a PhD in Agricultural Sciences from Kyushu University, Fukuoka, Japan, in 2009. He began his career as a lecturer in the Department of Agricultural Engineering at the Autonomous University of Nuevo León in 1992 and was trained in the design and automation of agro-industrial machinery at the Japan International Cooperation Agency. Professor Luna Maldonado became an assistant professor in 1996 and a professor in 2018. He has published thirty-three articles, five book chapters, and four books. He has advised six doctoral theses, five master\'s theses, and three undergraduate theses. He has served as the head of the educational program of Food Industry Engineering, which has been internationally accredited by Accreditation Board for Engineering and Technology (ABET), since 2009. He has been a member of the Mexican Council of Science and Technology since 2012, and the Program for the Development Teaching Professional (PRODEP) since 2003. He has also been a member of the American Society of Agricultural Engineering since 2012, and the Japanese Society of Agricultural Machinery since 2007.

2books edited

3chapters authored

Latest work with IntechOpen by Alejandro Isabel Luna Maldonado

This book is about the novel aspects and future trends of the hyperspectral imaging in agriculture, food, and environment. The topics covered by this book are hyperspectral imaging and their applications in the nondestructive quality assessment of fruits and vegetables, hyperspectral imaging for assessing quality and safety of meat, multimode hyperspectral imaging for food quality and safety, models fitting to pattern recognition in hyperspectral images, sequential classification of hyperspectral images, graph construction for hyperspectral data unmixing, target visualization method to process hyperspectral image, and soil contamination mapping with hyperspectral imagery. This book is a general reference work for students, professional engineers, and readers with interest in the subject.

Hyperspectral Imaging in Agriculture, Food and Environment

Hyperspectral Imaging in Agriculture, Food and Environment

Edited by Alejandro Isabel Luna Maldonado

Books edited

Horticulture

Horticulture

Edited by Alejandro Isabel Luna Maldonado

Chapters authored

Postharvest Technologies of Fresh Horticulture Produce

By Alejandro Isabel Luna-Maldonado, Clement Vigneault and Kei Nakaji

Part of the book: Horticulture

Models Fitting to Pattern Recognition in Hyperspectral Images

By Uziel Francisco Grajeda-González, Alejandro Isabel Luna- Maldonado, Humberto Rodriguez-Fuentes, Juan Antonio Vidales- Contreras, Ernesto Alonso Contreras-Salazar and Héctor Flores- Breceda

Worldwide, the concern on food safety, for example, on agriculture products, has become a topic with huge relevance. Nowadays, hyperspectral imaging systems for rapid detection of dangerous agents have emerged in response to these needs. In this research project, we proposed a new algorithm for Salmonella typhimurium detection on tomato surfaces in visible range (400–1000 nm). Gaussian model was used as a way to take out a model that could be calculated its definite integral; the final result of this algorithm is the area under curve (AUC), which gives a quantitative approach of spectral signatures. Three doses (5, 10, and 15 μL) and a control response (0 μL) were spread out on 20 tomatoes’ surface. Subsequently, it was observed that some decrease responses with higher dose; also, numerically this pattern was seen with the help of AUC value. As a last step, a single factor analysis of variance showed no significance due to doses. Despite this outcome, the algorithm provides to be a good methodology for pathogen detection.

Part of the book: Hyperspectral Imaging in Agriculture, Food and Environment

Automation and Robotics Used in Hydroponic System

By Alejandro Isabel Luna Maldonado, Julia Mariana Márquez Reyes, Héctor Flores Breceda, Humberto Rodríguez Fuentes, Juan Antonio Vidales Contreras and Urbano Luna Maldonado

Hydroponic system requires periodic labor, a systematic approach, repetitive motion and a structured environment. Automation, robotics and IoT have allowed farmers to monitoring all the variables in plant, root zone and environment under hydroponics. This research introduces findings in design with real time operating systems based on microcontrollers; pH fuzzy logic control system for nutrient solution in embed and flow hydroponic culture; hydroponic system in combination with automated drip irrigation; expert system-based automation system; automated hydroponics nutrition plants systems; hydroponic management and monitoring system for an intelligent hydroponic system using internet of things and web technology; neural network-based fault detection in hydroponics; additional technologies implemented in hydroponic systems and robotics in hydroponic systems. The above advances will improve the efficiency of hydroponics to increase the quality and quantity of the produce and pose an opportunity for the growth of the hydroponics market in near future.

Part of the book: Urban Horticulture

Related collaborators

Naima Bettahar

Université Hassiba Benbouali de Chlef , Algeria

Ligia Gabriela Gheţea

University of Bucharest , Romania

Ona Bundiniene

Lithuanian Research Centre for Agriculture and Forestry , Lithuania

Rozalia Magda Motoc

University of Bucharest , Romania

Carmen Florentina Popescu

University of Bucharest , Romania

Nicolae Barbacar

University of Bucharest , Romania

Ligia Elena Barbarii

University of Bucharest , Romania

Carmen Monica Constantinescu

University of Bucharest , Romania

Daniela Iancu

University of Bucharest , Romania

Danguole Kavaliauskaite

Lithuanian Research Centre for Agriculture and Forestry , Lithuania