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 the focus on the technologies, enabling 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. The impact for food security may be significant and this book explores ways to implement CPS effectively and appropriately.
Technology, especially computing technology, can play a significant in the field of agriculture by processing digitized data to solve the complex agronomic, agricultural demand and supply issues that impact the food supply chain, and ultimately food security. In Agri 4.0, the cyber physical system synchronously interacts with agricultural systems to control and execute the operation autonomously. Digitalization of agriculture integrates digital computers to assist the processes of agriculture with its digitized data and its allied technology including AI, Computer Vision, Big data, Block chain and IoT. Agri 4.0 digitalizes, estimate, plan, predict, and produce the optimum agricultural inputs and outputs for the required for commercial purposes. It can be used to get a fair, transparent and accountable process to serve the stakeholders. The convergence of IoT, ML, Big data and 5G networks have opened new possibilities to explore and exploit the cyber physical agricultural systems. The management and practices of smart multi-layer architecture and smart supply chain are one of the key application areas in Agri 4.0.
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. Agri 4.0 and the Future of Cyber-Physical Agricultural Systems - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. About the editors - p. Page vii 9. Preface - p. Page x 10. Acknowledgments - p. Page xi 11. List of Illustrations - p. Page xiii 12. List of Tables - p. Page xiv 13. Chapter 1 : Journey to cyber-physical agricultural systems digitalization and technological evolution - p. Page xiv 14. Chapter 2 : Agricultural cyber-physical systems: evolution, basic, and fundamental concepts - p. Page 16 15. Chapter 3 : Tools and framework for cyber-physical agricultural systems - p. Page 32 16. Chapter 4 : Convergence of Internet of things, machine learning, blockchain, big data, cloud, 5G for building the ecosystem for cyber-physical agricultural systems - p. Page 50 17. Chapter 5 : Issues and research challenges for implementing cyber-physical agricultural supply chains - p. Page 71 18. Chapter 6 : Economic, social, and environmental challenges in Agri 4.0 - p. Page 88 19. Chapter 7 : Smart multilayer architecture for cyber-physical agricultural systems with Intel oneAPI - p. Page 112 20. Chapter 8 : Blockchain-based smart supply chain and transportation for Agri 4.0 - p. Page 132 21. Chapter 9 : Toward precision agriculture in Cyber-Physical Agricultural System - p. Page 155 22. Chapter 10 : Fully convolutional network for edge devices—FPGA implementation and analysis for agriculture technology - p. Page 171 23. Chapter 11 : Smart production monitoring using drones in cyber-physical agricultural systems - p. Page 194 24. Chapter 12 : Role of recent innovations in smart agriculture systems - p. Page 217 25. Chapter 13 : AI-based pest detection and recovery model for cyber-physical agricultural systems - p. Page 234 26. Chapter 14 : Automated diagnosis of disease in grape leaves using deep neural networks - p. Page 255 27. Chapter 15 : Automated crop cultivation and pesticide scheduling: a case study - p. Page 276 28. Index - p. Page 293
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 the focus on the technologies, enabling 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. The impact for food security may be significant and this book explores ways to implement CPS effectively and appropriately.
Technology, especially computing technology, can play a significant in the field of agriculture by processing digitized data to solve the complex agronomic, agricultural demand and supply issues that impact the food supply chain, and ultimately food security. In Agri 4.0, the cyber physical system synchronously interacts with agricultural systems to control and execute the operation autonomously. Digitalization of agriculture integrates digital computers to assist the processes of agriculture with its digitized data and its allied technology including AI, Computer Vision, Big data, Block chain and IoT. Agri 4.0 digitalizes, estimate, plan, predict, and produce the optimum agricultural inputs and outputs for the required for commercial purposes. It can be used to get a fair, transparent and accountable process to serve the stakeholders. The convergence of IoT, ML, Big data and 5G networks have opened new possibilities to explore and exploit the cyber physical agricultural systems. The management and practices of smart multi-layer architecture and smart supply chain are one of the key application areas in Agri 4.0.
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. Agri 4.0 and the Future of Cyber-Physical Agricultural Systems - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. About the editors - p. Page vii 9. Preface - p. Page x 10. Acknowledgments - p. Page xi 11. List of Illustrations - p. Page xiii 12. List of Tables - p. Page xiv 13. Chapter 1 : Journey to cyber-physical agricultural systems digitalization and technological evolution - p. Page xiv 14. Chapter 2 : Agricultural cyber-physical systems: evolution, basic, and fundamental concepts - p. Page 16 15. Chapter 3 : Tools and framework for cyber-physical agricultural systems - p. Page 32 16. Chapter 4 : Convergence of Internet of things, machine learning, blockchain, big data, cloud, 5G for building the ecosystem for cyber-physical agricultural systems - p. Page 50 17. Chapter 5 : Issues and research challenges for implementing cyber-physical agricultural supply chains - p. Page 71 18. Chapter 6 : Economic, social, and environmental challenges in Agri 4.0 - p. Page 88 19. Chapter 7 : Smart multilayer architecture for cyber-physical agricultural systems with Intel oneAPI - p. Page 112 20. Chapter 8 : Blockchain-based smart supply chain and transportation for Agri 4.0 - p. Page 132 21. Chapter 9 : Toward precision agriculture in Cyber-Physical Agricultural System - p. Page 155 22. Chapter 10 : Fully convolutional network for edge devices—FPGA implementation and analysis for agriculture technology - p. Page 171 23. Chapter 11 : Smart production monitoring using drones in cyber-physical agricultural systems - p. Page 194 24. Chapter 12 : Role of recent innovations in smart agriculture systems - p. Page 217 25. Chapter 13 : AI-based pest detection and recovery model for cyber-physical agricultural systems - p. Page 234 26. Chapter 14 : Automated diagnosis of disease in grape leaves using deep neural networks - p. Page 255 27. Chapter 15 : Automated crop cultivation and pesticide scheduling: a case study - p. Page 276 28. Index - p. Page 293
