Agricultural Informatics and Artificial Intelligence: An Integrated Textbook and Question Bank is a comprehensive academic resource developed according to the ICAR Sixth Deans’ Committee Syllabus under NEP-2020 for undergraduate students of Agriculture and Allied Sciences. The book systematically progresses from computer fundamentals, hardware and software, memory concepts, operating systems, MS Office, databases, internet technologies and programming to ICT applications in agriculture, computer and crop simulation models, geospatial technologies, decision support systems and expert systems.

The latter part focuses on Artificial Intelligence, Machine Learning, IoT, Big Data, agricultural drones, robotics, precision agriculture, smart farming and AI-enabled applications in crop management, livestock health, pesticide application, yield prediction, weeding, harvesting, produce sorting and food processing. The book therefore connects fundamental computing knowledge with practical applications in modern digital agriculture.

Chapter 1. Introduction to Computer
Chapter 2. Memory Concepts and Operating Systems
Chapter 3. Productivity Tools of M. S. Office
Chapter 4. Concept of Internet and Database Technologies
Chapter 5. Computer Programming Fundamentals
Chapter 6. Information and Communication Technology (ICT) in Agriculture
Chapter 7. Computer Models and Automation in Agriculture
Chapter 8. Geospatial Technologies, Decision Support Systems/Expert System
Chapter 9. Fundamentals of Artificial Intelligence
Chapter 10. Applications of Artificial Intelligence in Agriculture