Artificial Intelligence in Crop Water Management

A Path to Conservation and Productivity
1. Auflage 2026
ISBN: 978-1-041-37129-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 738 Seiten, Format (B × H): 191 mm x 235 mm

This book examines artificial intelligence applications in agricultural water management and irrigation systems. It covers AI-driven approaches including machine learning, deep learning, and neural networks for optimizing water-use efficiency in crop production. The text discusses integration of AI with IoT, smart sensors, remote sensing, GIS, and cloud-based platforms for precision water management, and:

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Presents comprehensive coverage of artificial intelligence applications in agricultural water management including machine learning, deep learning, neural networks, and data-driven approaches for irrigation optimization.

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Examines integration of AI with IoT, smart sensors, remote sensing, GIS, and cloud-based systems for precision water management and real-time monitoring in crop production.

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Addresses climate-smart irrigation strategies and drought-resilient agriculture through AI-driven solutions for sustainable water resource planning and conservation.

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Discusses AI-based decision support systems and automated irrigation technologies including robotics for water-efficient farming and enhanced crop productivity.

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Covers big data analytics and AI-enhanced forecasting methods for predicting water needs and optimizing water-use efficiency in sustainable crop systems.

This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Naresh, R. K.

Gupta, R. K.

Garg, Rajbir

Sohane, R. K.

Singh, J. P.

Kumar, Arun

Gupta, Shivam

Kumar, Vineet

Fachgebiete

• Naturwissenschaften Agrarwissenschaften Ackerbaukunde, Pflanzenbau
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Wasserversorgung, Wasseraufbereitung
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Landwirtschaftliche Bewässerung

Inhaltsverzeichnis

Preface. About the Authors. Introduction. 1. AI-Driven Irrigation: Advancing Water Efficiency in Agriculture 2. Smart Watering: AI Solutions for Crop Productivity 3. AI and Smart Farming: Optimizing Water Use in Crops 4. AI-Powered Irrigation Strategies for Sustainable Agriculture 5. Intelligent Water Management: AI Approaches for Crop Sustainability 6. AI and IoT in Precision Water Management for Crops 7. Smart Irrigation Systems: AI for Water Conservation and Productivity 8. Deep Learning in Agricultural Water Resource Management 9. AI and Data-Driven Approaches for Water-Efficient Farming 10. Revolutionizing Crop Water Management with Artificial Intelligence 11. The Role of AI in Drought Resilient Agriculture 12. Climate-Smart Irrigation: Leveraging AI for Sustainable Crop Production 13. Optimizing Water Productivity in Agriculture with AI and Automation 14. AI-Based Decision Support Systems for Irrigation Management 15. ML Applications in Water-Use Efficiency for Sustainable Crops 16. AI and Smart Sensors: Transforming Water Use in Farming 17. Big Data and AI in Agricultural Water Conservation 18. AI for Water Security in Agriculture: Strategies and Applications 19. Automated Irrigation Systems: AI and Robotics in Water Management 20. Neural Networks for Smart Irrigation and Water Use Optimization 21. AI in Water Resource Planning for Sustainable Crop Growth 22. AI and Cloud-Based Water Management for Sustainable Farming 23. AI and Remote Sensing for Smart Water Use in Agriculture 24. Enhancing Crop Productivity with AI-Based Water Strategies 25. AI-Enabled Water Optimization for Precision Farming 26. AI and GIS in Water Resource Management for Crops 27. AI-Driven Solutions for Climate-Resilient Irrigation 28. AI-Enhanced Forecasting for Water Needs in Crop Production 29. Sustainable Crop Irrigation: AI and Automation for Smart Water Use 30. Next-Gen Agriculture: AI and the Future of Water Productivity References

Über Autor(innen)

R. K. Naresh is affiliated with the Department of Agronomy, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, Uttar Pradesh, India. He has published more than 300 research papers in national and international journals and authored and edited more than 65 books covering topics including conservation agriculture, soil health management, integrated nutrient and pest management, and precision farming. His research focuses on crop management, resource conservation, and climate-resilient agriculture. He has collaborated extensively with the International Rice Research Institute (IRRI), Philippines, the International Maize and Wheat Improvement Center (CIMMYT), Mexico, the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), India, the Indian Council of Agricultural Research (ICAR), India, and the Uttar Pradesh Council of Agricultural Research (UPCAR), India. He served as Nodal Officer of the Asian Development Bank (ADB) Project for Western Uttar Pradesh, India.

R. K. Gupta is affiliated with Lovely Professional University, Jalandhar, Punjab, India. He earned his B.Sc. in Agriculture in 1983, M.Sc. in Soil Science in 1985, and Ph.D. in 1998 from Punjab Agricultural University, Ludhiana, Punjab, India. His research focuses on integrated nutrient management, fertilizer use efficiency, crop residue management, and biochar technology in rice-wheat cropping systems. He has published 100 research articles, one review paper, four books, seven book chapters, four research bulletins, and 155 extension articles. He has handled 14 national and international projects and mentored 15 postgraduate students. He received the Ch. Devi Lal ICAR Award in 2010, the FAI Golden Jubilee Award for Excellence in Plant Nutrition in 2020, and the Prof. Manjeet S. Chinnan Distinguished Professor Chair Award in 2022 from Punjab Agricultural University, Ludhiana, Punjab, India.

Rajbir Garg is affiliated with the Department of Agronomy, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, Uttar Pradesh, India. He earned his B.Sc. (Hons) Agriculture in 1989 and M.Sc. in Agronomy in 1991 from CCS Haryana Agricultural University, Hisar, Haryana, India, and completed his Ph.D. in Agronomy from Indian Agricultural Research Institute, New Delhi, India, in 1991. He began his career as Extension Agronomist in Krishi Vigyan Kendra (KVK), Haryana, India, in 1994. His research focuses on resource conservation technologies, crop diversification, weed management, paddy straw management, direct seeded rice, and water-saving technologies in rice-wheat cropping systems.

R. K. Sohane serves as Director of Extension Education at Bihar Agricultural University, Sabour, Bihar, India. He holds a Master's and Doctoral degree in Animal Nutrition from G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India. He has held administrative roles including Acting Vice Chancellor, Registrar, Director of Student Welfare, Nodal Officer for ICAR and RKVY, and Director of CAFT at Bihar Agricultural University, Sabour, Bihar, India. He has organized national and international conferences, ICAR Summer Schools, and CAFT programs, and conducted 93 training programs benefiting over 8900 participants. He has represented India at workshops in Washington, D.C., USA, and at the International Rice Research Institute (IRRI), Philippines. His documentary "Umeed: A Hope" won Second Place at the 5th National Film Festival for Rural Development (2021) at NIRD, Hyderabad, India.

J. P. Singh is affiliated with the Department of Soil and Water Engineering, College of Agricultural Engineering, Punjab Agricultural University, Ludhiana, Punjab, India. He earned his B.Tech. in Agricultural Engineering from Allahabad Agricultural Institute, Allahabad, Uttar Pradesh, India, and M.Tech. and Ph.D. in Soil and Water Engineering from Punjab Agricultural University, Ludhiana, Punjab, India. He received the Jawahar Lal Nehru Award for best Ph.D. thesis from the Indian Council of Agricultural Research (ICAR), New Delhi, India, Commendation Medal from the Indian Society of Agricultural Engineers (ISAE), India, Young Scientist Award, Kunwar Saxena Bahadur Award, Fellowship Award, Agricultural Engineering Division Medal, and Senior Research Fellowship from the Council of Scientific and Industrial Research (CSIR), New Delhi, India. He has guided 3 Ph.D. students and 14 M.Tech. students and published about 75 research papers. He is handling a FIST, DST funded project of Rs. 1.52 Crore for the Establishment of a State of Art Geospatial Lab.

O. P. Gupta serves as Head of the Department of Electrical Engineering and Information Technology at Punjab Agricultural University, Ludhiana, Punjab, India. He served as founder Deputy Director (IT) and helped establish the School of Information Technology at Punjab Agricultural University, Ludhiana, Punjab, India. He received the PAU Meritorious Teacher Award (2009–10) for contributions to integrating information technologies in agricultural education and research. He has been instrumental in developing PAU's Information Superhighway in the University Data Centre. He is a member of the International Association of Engineers, Singapore, and the Computer Science Teachers Association (CSTA), USA.

Arun Kumar serves at the Livestock Research Station, Beechwal, Rajasthan University of Veterinary and Animal Sciences (RAJUVAS), Bikaner, Rajasthan, India. He earned his B.Sc. in Agriculture from Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology (MPUAT), Udaipur, Rajasthan, India, M.Sc. in Agronomy from Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, Uttar Pradesh, India, and Ph.D. in Agronomy from Punjab Agricultural University, Ludhiana, Punjab, India, in 2022. He received the Indian Council of Agricultural Research (ICAR) Senior Research Fellowship (SRF), India, Department of Science and Technology (DST) INSPIRE Fellowship, India, and qualified the ICAR National Eligibility Test (NET), India. His research focuses on crop physiology, nutrient management, and weed science.

Shivam Gupta is affiliated with the Department of Computer Science and Automation, Indian Institute of Science, Bangalore, Karnataka, India. He completed his Ph.D. as Prime Minister Research Fellow in Computer Science and Engineering at the Indian Institute of Technology, Ropar, Punjab, India. He earned his Bachelor's degree from the Indian Institute of Information Technology, Sonepat, Haryana, India (Mentor Campus: NIT Kurukshetra, Haryana, India). His research interests include fairness in machine learning, recommender systems, federated learning, and game theory. He has published research in journals such as Springer and Taylor & Francis, and in conferences such as AAMAS and ECAI.

Vineet Kumar serves at IIMT University, Meerut, Uttar Pradesh, India. He completed his B.Sc. in Agriculture, M.Sc. in Soil Science, and Ph.D. from Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, Uttar Pradesh, India, between 2005 and 2016. He worked with the Indian Council of Agricultural Research (ICAR), India, from 2017 to 2021 on climate-resilient sustainable agriculture research. His research focuses on conservation agriculture, nutrient dynamics, residue management, vermicomposting, natural farming, and millet integration. He has published five books and 26 research papers in national and international journals. He serves as RAWE and Internship Coordinator at IIMT University, Meerut, Uttar Pradesh, India.