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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… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
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.
Researchers, academics, post-graduate students and industry professionals in agriculture, agronomy and agricultural technology
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Annamaria Castrignanó formerly director of research at Council for Agricultural Research and Economics in Bari (Italy) and full professor of geostatistics at the G. D'Annunzio University of Chieti-Pescara (Italy). She is currently senior researcher at the IREA Center of the National Research Council (CNR). 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 300 papers). She has published also as co-editor of books of Elsevier, Springer, CRC Press regarding the application of geostatistics to pedology, environmental monitoring and smart farming. 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 change of support using proximal and remote sensors.
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Prof. Khosla’s research specializes in harnessing spatial and temporal heterogeneity in managed agro-ecosystems and translating those into better decision models. His group has extensively used remote sensing and other geo-spatial tools to enhance production, resource use efficiency, profitability, and sustainability of managed agro-ecosystems. He has co-authored over 100 refereed publications and has been invited globally to over 30 countries.
Prof. Khosla is the Fellow of American Association for Advancement of Science; Fellow of American Society of Agronomy; Fellow of Soil Science Society of America; Fellow of Crop Science Society of America, Fellow of Soil and Water Conservation Society and Honorary Life Fellow of International Society of Precision Agriculture.
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