Agri 4.0 and the Future of Cyber-Physical Agricultural Systems is the first book to explore the potential use of technology in agriculture with a focus on technologies that enable the reader to better comprehend the full range of CPS opportunities. From planning to distribution, CPS technologies are available to impact agricultural output, delivery, and consumption. Specific sections explore ways to implement CPS effectively and appropriately and cover digitalization of agriculture, digital computers to assist the processes of agriculture with digitized data and allied technologies, including AI, Computer Vision, Big data, Block chain, and IoT. Other sections cover Agri 4.0 and how it can digitalize, estimate, plan, predict, and produce the optimum agricultural inputs and outputs required for commercial purposes. The global team of authors also presents important insights into promising areas of precision agriculture, autonomous systems, smart farming environment, smart production monitoring, pest detection and recovery, sustainable industrial practices, and government policies in Agri 4.0.

1. Journey to Cyber Physical Agricultural Systems: Digitalization and Technological Evolution2. Tools and Framework for Cyber Physical Agricultural Systems3. Convergence of IoT, ML, Blockchain, Big Data, Cloud, 5G for Building the Ecosystem for Cyber Physical Agricultural Systems4. Issues and Research Challenges for Implementing Cyber Physical Agricultural Systems5. Economic, Social and Environmental Challenges in Agri 4.06. Explainable AI for Security Surveillance in Cyber Physical Agricultural Systems7. Smart Multi-Layer Architecture for Cyber Physical Agricultural Systems8. Blockchain based Smart Supply Chain and Transportation for Agri 4.09. Towards Precision Agriculture in Cyber Physical Agricultural Systems10. Autonomous Systems and Smart Farming Environment for Cyber Physical Agricultural Systems11. Blockchain based Logistics and Supply Chain Management in Cyber Physical Agricultural Systems12. Smart Production Monitoring using drones in Cyber Physical Agricultural Systems13. AI based Pest Detection and Recovery Model in Cyber Physical Agricultural Systems14. Government Policies and Practices for Cyber Physical Agricultural Systems15. Sustainable Industrial Practices Ensuring Food Security via Cyber Physical Agricultural Systems: A Case Study 16. Automated Crop Cultivation and Pesticide Scheduling: A Case Study