Artificial Intelligence in Smart Agriculture for Sustainable Crop Management and Precision Farming
Mr. Rajiv Kumar Nath, Dr. Shrishail Sidram Patil, Dr. Kakade Sandeep Kishanrao, Dr. Sabiyath Fatima
Indexed In: Google scholar
Release Date: 28/10/2025 | Copyright:©2025 | Pages: 396
DOI: 10.71443/9789349552364
ISBN10: 9349552361 | ISBN13: 9789349552364
Artificial Intelligence in Smart Agriculture for Sustainable Crop Management and Precision Farming explores the transformative role of AI technologies in modern agriculture. By integrating AI-driven solutions such as machine learning, computer vision, and IoT, this book delves into how precision farming practices can optimize crop yield, minimize resource use, and ensure environmental sustainability. It covers key areas like predictive analytics for crop health monitoring, autonomous farming machinery, soil health management, and climate adaptation strategies. With real-world case studies, it highlights how AI is revolutionizing agriculture, enabling farmers to make data-driven decisions for efficient, sustainable farming practices.
Artificial Intelligence in Smart Agriculture for Sustainable Crop Management and Precision Farming' explores the revolutionary impact of AI in transforming agricultural practices for sustainability and efficiency. This book covers the application of AI technologies in precision farming, including crop monitoring, pest and disease prediction, soil analysis, and resource management. It highlights the use of machine learning, computer vision, and IoT-based systems to optimize yields, reduce environmental impact, and enhance farm productivity. The book also examines the integration of AI in decision-making tools for better crop management, helping farmers achieve sustainable agricultural practices while ensuring food security for the future.
Rajiv Kumar Nath received B.E degree in Computer Science & Engineering from Madan Mohan Malviya Engineering College, Gorakhpur in 1999. M. Tech Degree in Intelligent System (Information Technology) from Indian Institute of Information Technology, Allahabad in 2004. He Ph.D. degree in 2025 from the Faculty of Engineering, Jamia Millia Islamia, New Delhi and his area of research interests are Image Processing, Machine Learning, recommender system and Deep Learning. He is having more than 19 years of teaching experience and he is currently working as an Assistant Professor in the Department of Computer Sciences & Engineering, Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, G B Nagar, Uttar Pradesh, India.
Dr. Shrishail Sidram Patil is an accomplished academician and researcher in Computer Engineering with over 17 years of teaching experience. He holds a Ph.D. in Computer Science and Engineering from Nirwan University, Jaipur, with his research focused on enhancing performance in Educational Data Mining using Machine Learning techniques. Dr. Patil has published several papers in reputed UGC CARE and Scopus-indexed journals, with key interests in Machine Learning, Deep Learning, and Educational Data Mining. He is currently serving as an Assistant Professor and PG Coordinator at JSPM’s Bhivarabai Sawant Institute of Technology & Research, Pune, Maharashtra.
Dr. Kakade Sandeep Kishanrao is a distinguished academician and researcher in Electronics and Telecommunication Engineering with over 17 years of teaching and industrial experience. He earned his Ph.D. in Electronics and Communication Engineering, specializing in MIMO antenna design for Sub-6 GHz 5G applications. His expertise lies in antenna design, simulation, and fabrication using advanced tools such as HFSS. Dr. Kakade has published extensively in UGC CARE and Scopus-indexed journals authored multiple book chapters, and holds copyrights and a patent in wireless communication. He is currently serving as an Assistant Professor at Vilasrao Deshmukh Foundation, Group of Institutions, Latur, Maharashtra, and is a Lifetime Member of IAENG.
Dr. N. Sabiyath Fatima is currently a Professor in the Department of Computer Science and Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai. She has a professional experience of more than 22 years of teaching, research and working in consultancy projects. She has published book chapters, patents and more than 50 papers in various national and international peer-reviewed journals and conferences. She has acted as a resource person, panel member, chief guest, and guest of honour, and given a plenary talk in various industries and institutions as a part of training, seminars, workshops, international and national conferences. She has been an active reviewer in various international journals and conferences. She has received Awards for the best contribution in academic research. Her teaching and research expertise covers a wide range of domains including mobile ad hoc networks, data mining, high-performance computing, IoT, big data, machine learning, artificial intelligence, and deep learning.