Autonomous Agriculture: Artificial Intelligence and Emerging Technologies for the Future of Farming explores how mathematical models, artificial intelligence and computational technologies are transforming contemporary agriculture. The book covers the evolution from traditional farming to Agriculture 5.0 and examines applications of machine learning, deep learning, digital twins, remote sensing, GIS and data analytics in crop monitoring, yield prediction, soil-health assessment and resource optimization.

It also discusses livestock monitoring, agricultural robotics, blockchain, IoT-enabled sensors, federated learning, climate forecasting, smart greenhouses and farm decision-support systems. Mathematical and computational approaches are presented as essential tools for improving productivity, sustainability, resilience and evidence-based farm management. The book further addresses ethical concerns, data privacy, cybersecurity, socioeconomic impacts, government policies and emerging research directions. Bringing together multidisciplinary perspectives, it is a valuable reference for students, researchers, agricultural scientists, engineers, policymakers and professionals working in smart agriculture, mathematical modelling, artificial intelligence and computational agricultural sciences.

T. Monika Singh received her M.Tech degree in Computer Science and Engineering from Osmania University and is currently pursuing a Ph.D. in the Department of Information Technology at Annamalai University. Since 2017, she has been serving as a faculty member in the Department of Computer Science and Engineering at Stanley College of Engineering and Technology for Women. She has extensive experience in both teaching and research and is certified as a Project-Based Learning (PBL) mentor by Wipro, in addition to holding a TalentNext certification in Java Full Stack Development. Her primary research interest is in the field of Machine Learning, and she has authored many research publications indexed in Scopus, along with several other papers published in reputed national and international journals and conferences. She also holds a patent to her name and is an active member of the Association for Computing Machinery (ACM), demonstrating a strong commitment to advancing technological education and innovation.

Dr. C. Kishor Kumar Reddy is a seasoned academician and researcher with over 12 years of experience in computer science and engineering. Currently serving at Stanley College of Engineering and Technology for Women, Hyderabad, he holds a Ph.D. in Computer Science and Engineering and a Postdoctoral Fellowship from Universiti Kebangsaan Malaysia, Malaysia. Dr. Reddy has made significant contributions in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, Cybersecurity, Healthcare 6.0, and Disaster Management. He has authored and co-authored 250+ research articles in reputed SCI/Scopus-indexed journals, presented in international conferences, and contributed to numerous book chapters with leading publishers like Springer, CRC Press, Wiley-IEEE, IGI Global, and Cambridge Scholars Publishing. He also holds several published patents and serves as an editor for multiple scholarly books on emerging technologies. Dr. Reddy is an active member of professional bodies such as the Indian Society for Technical Education, Computer Society of India, and the International Association of Engineers, among others.

Dr. Payal Bansal has received her B.Tech., M.Tech., and Ph.D. degrees in the field of Electronics Engineering. She has vast teaching experience of more than 17 years in reputed organizations. She completed her Bachelor of Engineering from Rajasthan University, Jaipur, and her Master of Technology in Digital Communication from Rajasthan Technical University. She earned her Ph.D. from JNU. She is a Senior Member of IEEE and a lifetime member of ISTE, IEEE, and IAENG. Currently, she is working at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, as Head of Research & Outreach, Professor, and Head of the IoT branch. In her research, she has made remarkable contributions in the field of Radio Frequency Communication and has developed a filter that can function as a protective shield to prevent high-frequency radio signals. She has published more than 40 research articles in peer-reviewed journals, including IEEE Xplore, Scopus, and SCI-indexed publications. Her contributions include 18 journal papers, 29 conference papers, and 13 book chapters, along with 9 national and 2 international books. She also holds 5 patents and 1 copyright. Her main research areas include RF Communication, Internet of Things, wideband antenna design, and Machine Learning. Dr. Bansal has organized several national and international conferences, symposia, and webinars. She has also published 3 patents in the fields of antenna design and IoT-based applications under the Intellectual Property Rights of the Government of India. She is actively involved in NAAC SSR preparation and university interface promotional activities and is a professional member of several national and international bodies.

Dr. Denis R is an Assistant Professor and Program Coordinator for Artificial Intelligence & Machine Learning and Cybersecurity at Mount Carmel College, Autonomous, Bengaluru, India. He holds a Ph.D. in Computer Science from Periyar University and is currently pursuing Postdoctoral Research at Lincoln University College, Malaysia. With over 16 years of academic and research experience, his core expertise lies in Cybersecurity, Artificial Intelligence, Machine Learning, Cloud Computing, and Data Analytics. Dr. Denis has published extensively in reputed SCIE, Scopus, Web of Science, and IEEE-indexed journals and has authored multiple textbooks and book chapters in computer science and engineering. He also serves as a peer reviewer for leading international journals published by Springer, Taylor & Francis, and Elsevier. His research interests include secure data communication, hybrid cryptography, federated learning, intrusion detection systems, healthcare security, and intelligent systems. Dr. Denis is an active academic contributor, serving on boards of studies, institutional committees, and international conference review panels, and has received several awards for his research and academic excellence.

Srinath Doss is the Professor and Dean in the Faculty of Engineering and Technology, Botho University, responsible for Botswana, Lesotho, Eswatini, Namibia and Ghana Campuses. He has previously worked with various reputed Engineering colleges in India, and with Garyounis University, Libya. He has written good number of books and more than 80 papers in International Journals and attended several prestigious conferences. His research interests include MANET, Information Security, Network Security and Cryptography, Artificial Intelligence, Cloud Computing and Wireless and Sensor Network. He serves as an editorial member and reviewer for reputed international journals, and an advisory member for various prestigious conferences. Prof. Srinath is member of IAENG and Associate Member in UACEE.

Chapter 1. Introduction to Artificial Intelligence and Its Transformative Role in Smart Agriculture
Jujuroo Sowmya, Sai Kiran Deshmukh, Achan Sai Pranay

Chapter 2. Evolution of Agriculture: From Traditional Farming to Intelligent Systems
Gayathri Dili, Ajay Basil and Shibwabo C Anyembe

Chapter 3. The Agriculture 5.0 Paradigm: Architectural Evolution and the Role of Autonomous Intelligence in Global Food Security
Joseph Iyanda, Viswanathan Sankaranarayanam

Chapter 4. Deep Learning Approaches for Advanced Crop Monitoring and Yield Prediction in Smart Agriculture
Nalina Viswanathan, Josephine Sahaya Vergin J, Vidhyavathi Ramasamy, Raja Manikandan Sundararaj

Chapter 5. Digital Twin Technology for Smart Farming and Crop Simulation Models
Mohammed Abdul Bari, G F Ali Ahammed, M. Supriya Samuel, Imtiyaz Khan

Chapter 6. Remote Sensing and GIS Applications in AI-Driven Agriculture
Mohammed Abdul Bari, Reshma Banu, Pallavi Khare, Mohammed Afzal

Chapter 7. Precision Agriculture Using Artificial Intelligence for Optimized Resource Management and Decision Support
Josephine Sahaya Vergin J, Nalina Viswanathan, Vidhyavathi Ramasamy, Raja Manikandan Sundararaj

Chapter 8. Challenges, Ethical Consideration, Data Privacy, and Security Issues in AI-Enabled Agriculture
Manikandan Kannappan, Yasodha M, Rithiga R and Madhusree S

Chapter 9. Soil Health Monitoring and Fertility Prediction Using Artificial Intelligence and Data Analytics Models
Jujuroo Sowmya, Achan Sai Pranay, Sai Kiran Deshmukh, Suresh Kumar Badhagouni

Chapter 10. Artificial Intelligence Applications in Livestock Monitoring, Behaviour Analysis, and Farm Management
Angajala Sai Subhiksh, V. Hanisha, Chetan Kumar Chowdam, Tekuri Vamsi Krishna, Polimera Lakshmi Bhanu

Chapter 11. Agricultural Robotics and Autonomous Systems for Smart and Sustainable Farming Practices
Manikandan Kannappan, Poomalai Vasanth, Hiruthayam Anthony Doss, Archana, Megha R Nair

Chapter 12. Decentralized Intelligence in Agri-Tech: Leveraging Blockchain and IoT for Next-Gen Precision Farming
Shugufta Fatima, Ishrath Tabassum, Harika Koormala, Kishor Kumar Reddy C, Jothi Paranthaman

Chapter 13. Climate-Smart Agriculture: AI-Based Weather Prediction and Environmental Impact Assessment
Balajee Maram and Srinu Banothu

Chapter 14. FedFarm: A Federated Learning Framework with IoT Sensor-Based Architectures for Real-Time Smart Farming Applications
S. Clement Virgeniya, Gnanasankaran Natarajan, Sundaravadivazhagan Balasubramaniam, T. S. Venkateswaran

Chapter 15. Big Data Analytics for Smart Agriculture and Real-Time Decision Support Systems
Angajala Sai Subhiksh, Polimera Lakshmi Bhanu, V. Hanisha, Tekuri Vamsi Krishna, Chetan Kumar Chowdam

Chapter 16. IoT-Based Smart Sensors for Real-Time Monitoring in Agriculture
Preeti Goyal, Shobha Kulshrestha

Chapter 17. AI-Driven Farm Management Information Systems and Decision Support Tools
Tekuri Vamsi Krishna, Angajala Sai Subhiksh, V. Hanisha, P. Lakshmi Bhanu, Karthik Reddy M.

Chapter 18. Socio-Economic Impact of Artificial Intelligence (AI) Adoption in Agriculture
Rishi Kant

Chapter 19. Government Policies, Initiatives, and Frameworks for Smart Agriculture Development
Yasodha M, Vasanth P, Sivaraj Nithiyasri, Ra. K. Krishna Priyan, Archana Anokhe, Megha R Nair

Chapter 20. Future Trends, Innovations, and Research Directions in AI-Driven Smart Agriculture Systems
Eswaran Karnika, Vasanth P, J. Priyanjena Chacko, Ra. K. Krishna Priyan, Archana Anokhe, Megha R Nair

Chapter 21. Smart Greenhouse Systems and Controlled Environment Agriculture Using Artificial Intelligence
Sarwath Unnisa, Shirley Sheeba S, Sunanna S