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Agricultural Internet Of Things And Decision Support For Precision Smart Farming Paperback

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Author 1
Castrignano, Annamaria
Book Description
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies
ISBN-13
9780128183731
Language
English
Publisher
Elsevier Science Publishing Co Inc
Publication Date
06-02-2020
Number of Pages
442
About the Author
Annamaria Castrignano is a research director at the Council for Agricultural Research and Economics in Bari (Italy). She has been actively involved in the discipline of pedometrics and digital soil mapping for many years. Her knowledge and expertise in geostatistics and statistics has been exemplified in several oral presentations in International conferences and peer-refereed journal articles (she has published more than 250 papers). She has been the scientific leader of national and international projects aimed at the application of precision farming to the cultivation of durum wheat and tomato in Southern Italy and at the use of proximal and remote sensing in agriculture. She has been giving several basic and advanced courses on geostatistics to national and international PhD students and researchers in Italy and abroad. She is currently involved in the implementation of multivariate geostatistical techniques of data fusion with proximal and remote sensors. Gabriele Buttafuoco is senior researcher in the National Research Council of Italy. His research focuses on the application of statistical and geostatistical methods for the purpose of analysing soil properties variability, modelling soil processes, delineating management zones for precision agriculture, hydrology and water resource management. He is also involved in proximal soil sensing, chemometrics, and data fusion. On these topics, he has published several articles in international journals and conference proceedings. He is Associate Editor for Environmental Earth Sciences and member of the Editorial Board of the journal Archives of Agronomy and Soil Science. He is member of International Society of Precision Agriculture, International Union of Soil Science, Italian Soil Science Society, and European Water Resources Association. Raj Khosla is Robert Gardner Professor of Precision Agriculture. His main research focus has been on "Management of in-field soil and crop spatial variability using innovative technologies for variable rate precision nutrient and water management. He has generated many discoveries in precision agriculture, most widely recognized among them is the innovative technique of quantifying variability of spatially diverse soils using satellite based remote sensing to create management zones, which is currently being used by farmers in Colorado, across US and in other countries around the world. In 2012, he was named the Jefferson Science Fellow by the National Academy of Sciences and previously in 2008, he was named the Colorado State University Monfort Professor. He is the Fellow of (i) American Society of Agronomy; (ii) Soil Science Society of America; (iii) Soil and Water Conservation Society and (iv) Honorary Life Fellow of International Society of Precision Agriculture. Dr. Khosla is the Founder and Past-President of the International Society of Precision Agriculture. Dr. Khosla is involved with quantifying and managing spatial variability of soils by precise crop input management in an environmentally sensible manner. Currently, Dr. Khosla is evaluating different techniques of delineating and managing "production level management zones". In addition, he is evaluating remote sensing techniques to quantify crop stress conditions for nitrogen in irrigated corn, and detecting weeds in dryland no-till fields. Abdul Mouazen, specializing in proximal soil sensing for precision agriculture and environmental applications, is a patent holder of a mobile soil sensor that can analyse the composition of the soil by means of infrared spectroscopy. During his past 9 years employment at Cranfield University (UK), several pioneering precision agriculture applications of this innovative sensor were achieved
Editor 1
Annamaria Castrignano
Editor 2
Gabriele Buttafuoco
Editor 3
Raj Khosla