Overview
- Presents knowledge on smart farming and artificial intelligence in various parts of India and other regions
- Covers diverse topics including natural resource management, precision agriculture, and sustainable development
- Presents the role of technology, methods, and modeling used to facilitate adaptation of precision agriculture
Part of the book series: Advances in Geographical and Environmental Sciences (AGES)
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Table of contents (25 chapters)
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Fundamentals of Smart Agriculture
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Technology, Tools and Techniques
Keywords
About this book
Editors and Affiliations
About the editors
Er. N. L. Kushwaha is a scientist at the Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute (IARI) located in Pusa Campus, New Delhi, India. He has been involved in teaching and research at the institute for the past four years. Prior to joining IARI, he worked as an assistant agricultural engineer (AAE) at the National Seeds Corporation, Ltd. for over three years. During his time there, he specialized in exploring sensor-based irrigation systems such as central pivot irrigation systems for precise water application. He has authored 1 book, 10 book chapters, and 35 research papers in national and international journals. His research interests include AI in water resource management and planning, remote sensing, geographic information systems (GIS), climate change, watershed modeling and management.
Dr. Chaitanya Pande is a GIS consultant at Primus Partners Private Limited, Delhi, India. He completed a Ph.D. in Environment Science from Sant Gadge Baba Amravati University, Amravati, and an M.Sc. in Geo-informatics from Amravati University in 2011. He has more than 10 years of teaching, research, and industrial experience. He is a reviewer for several scientific journals of high international reputations with editorial board membership in the Journal of the American Agricultural and Biological Sciences. He has published 57 research papers, 1 textbook, 1 edited book, 19 conferences papers, and 5 book chapters with more than 830 citations. His research interests include Remote Sensing, GIS, Google Earth Engine, Machine learning, watershed management, hydrogeology, hydrological modeling, drought monitoring, land use and land cover analysis, groundwater quality, urban planning, hydro-geochemistry, groundwater modelling, geology, hyperspectral remote sensing, remote sensing and GIS application in natural resources management, watershed management, and environmental monitoring and assessment subjects. Dr. K. G. Singh is a principal scientist at Punjab Agricultural University (PAU), Ludhiana, Punjab, India. He has 31 years of research experience in water resources management, micro irrigation, protected cultivation and computer simulation modeling. He has achieved wide international exposure by visiting many countries to participate in conferences and meetings or advanced trainings in net house designing. He has led 6 research projects as a principal investigator (PI) and co-PI. His scientific contributions to farmers are documented by the inclusion of his 10 recommendations in the Package of Practices of PAU in the field of protected cultivation, drip irrigation, mulch-laying machines, and soilless cultivation of vegetables in polyhouse and rooftop vegetable nutrition garden models. He has published more than 55 research papers in national and international journals. He is also credited with 1 book, 10 book chapters, 12 research bulletins, 23 popular articles, and 17 TV and radio talks.Bibliographic Information
Book Title: Artificial Intelligence and Smart Agriculture
Book Subtitle: Technology and Applications
Editors: Kusum Pandey, N. L. Kushwaha, Chaitanya B. Pande, K. G. Singh
Series Title: Advances in Geographical and Environmental Sciences
DOI: https://doi.org/10.1007/978-981-97-0341-8
Publisher: Springer Singapore
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-97-0340-1Published: 30 March 2024
Softcover ISBN: 978-981-97-0343-2Due: 30 April 2024
eBook ISBN: 978-981-97-0341-8Published: 29 March 2024
Series ISSN: 2198-3542
Series E-ISSN: 2198-3550
Edition Number: 1
Number of Pages: VII, 567
Number of Illustrations: 12 b/w illustrations, 153 illustrations in colour
Topics: Physical Geography, Agriculture, Artificial Intelligence, Cyber-physical systems, IoT, Professional Computing