Smart Agriculture through Mathematical Modelling and Computational Approaches 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.

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