Farming 5.0: Deep Learning for the Future-Generation Agriculture

£105.00

Available for Pre-order. Due July 2026.

Farming 5.0: Deep Learning for the Future-Generation Agriculture Editors: Siddharth Singh Chouhan, Rajneesh Kumar Patel, Anju Shukla, Uday Pratap Singh Format: Hardback First Published: Published By: Taylor & Francis Ltd
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Pages: 452 Illustrations and other contents: 54 Tables, black and white; 10 Line drawings, color; 23 Line drawings, black and white; 15 Halftones, color; 6 Halftones, black and white; 25 Illustrations, color; 29 Illustrations, black and white Language: English ISBN: 9781041144120 Categories: , , , , ,

Agriculture is experiencing a technology renaissance with deep learning leading the way. This volume addresses how advanced AI methods are transforming the future of farming, food systems, and environmental sustainability. It is forward-looking guide to integrating smart systems in agriculture across all scales – from soil to satellite. The volume comprises contributions from international leaders in AI, agronomy, genomics, remote sensing, and robotics. It addresses a broad array of emerging topics, such as autonomous farming systems, UAVs, and deep reinforcement learning for field operations; computer vision and hybrid models for crop, weed, and livestock detection; and advanced edge and federated learning approaches to real-time, privacy-conscious decision-making. It also discusses explainable AI for transparent agricultural models, deep learning in crop genomics and trait prediction, biodiversity monitoring, and time-series forecasting of pests and climate stress. Generative AI for generating synthetic agricultural data and simulating digital farms with AR/VR and digital twins are also covered. With a particular focus on climate-smart agriculture, the book addresses the role that deep learning can play in promoting resilient, adaptive, and sustainable food systems under climate change and food insecurity globally. It concludes with an examination of the ethical, regulatory, and policy issues, presenting a vision for inclusive, human-centric AI in agriculture. This book will be useful for researchers, practitioners, graduate students, and policymakers operating at the nexus of AI and agriculture. It is both- a reference and a vision book for the future generation of smart and sustainable farm technologies.

Weight0.8468928 kg
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Author Biography

Dr. Siddharth Singh Chouhan is a Senior Assistant Professor Grade 2 in the School of Computing Science and Engineering, VIT Bhopal University, Sehore, India. He has a B.Tech. (with Honours) 2010, an MTech (with Honours), 2013 in Computer Science and Engineering from RGPV University, Bhopal, India, and a PhD in Computer Science and Engineering from Shri Mata Vaishno Devi University Katra, Jammu and Kashmir, India. He is a Post Doctorate from the University of Malta. His area of interest includes Artificial Intelligence, Computer Vision, Drone Technology, and Precision Agriculture. He had authored several research papers published in reputed journals and conferences. Dr. Rajneesh Kumar Patel Dr. Rajneesh Kumar Patel is an Assistant Professor in the School of Computing Science and Engineering, VIT Bhopal University, Sehore, India. He holds a B.E. and an M.Tech. in Electronics and Communication Engineering from RGPV University, Bhopal, India, and a PhD in Electronics and Communication Engineering from Maulana Azad National Institute of Technology, Bhopal, India. His areas of interest include developing image processing, Computer vision, Machine learning/Deep Learning, and Precision Agriculture. He has authored several research papers in many reputed journals and conferences. Dr. Anju Shukla Dr. Anju Shukla is an Assistant Professor in the School of Computing Science and Engineering at VIT Bhopal University, Sehore, India. She holds a Doctorate from Jaypee University of Engineering and Technology, Guna, and an MTech in Computer Engineering from Shobhit University, Meerut. Dr. Shukla has successfully guided many undergraduate (UG) students in Computer Science for their academic projects. She has presented and published research papers in international journals (including SCI- and Scopus-indexed journals) as well as in international conferences. She has also attended conferences, workshops, Faculty Development Programs (FDPs), and seminars. Dr. Shukla is an active researcher and has published articles in SCI-indexed journals. Her areas of interest include Cloud Computing, Distributed Computing, and Artificial Intelligence. Prof. Uday Pratap Singh is a Professor in the Department of Mathematics, Central University of Jammu, Jammu, India. He completed his BSc and MSc (Mathematics and Statistics) from Dr. R.M.L. (Avadh) University, Ayodhya, India, and another MSc (Mathematics and Computing) from Indian Institute of Technology, Guwahati, India, and a PhD in Computer Science from Barkatullah University, Bhopal. His areas of interest include Soft Computing, Nonlinear Systems, and Image Processing. He had authored several research papers in the many reputed journals and conferences. He is a life member of Soft Computing Research Society (SCRC), Barata Ganita Parishad, Computer Society of India and Member of IEEE and AMS.