Agricultural Internet of Things and Decision Support for Precision Smart Farming

Coordinators: Castrignano Annamaria, Buttafuoco Gabriele, Khosla Raj, Mouazen Abdul, Moshou Dimitrios, Naud Olivier

Language: English

146.54 €

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470 p. · 19x23.3 cm · Paperback

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.

1. Introduction 2. Monitoring 3. Data processing 4. Support to decision making 5. Smart action 6. Economic, environmental and societal impacts 7. Examples of smart precision farming worldwide

researchers, academics, post-graduate students and industry professionals in agriculture, agronomy and agricultural technology

Annamaria Castrignanó 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 innovat
  • Presents the science behind smart technologies for agricultural management
  • Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space
  • Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable