Quantum Computing and Instrumentation for Smart Agriculture provides a detailed overview of quantum technologies and their applications in agriculture, exploring its transformative potential in improving agricultural practices Organized in five parts, the first section of the book introduces quantum technologies, their historical context, and the need for innovation in agriculture. The following sections discuss specific applications, including quantum computing for data analysis, quantum and nano-enabled sensors for precision farming, and quantum imaging for crop monitoring. In addition to addressing technological advancements, the book highlights sustainable practices and the future of quantum agriculture. This book is a valuable resource for researchers, scientists, and professionals interested in the integration of quantum and nanoscience with agricultural innovation, offering insights into innovative solutions that improve productivity while minimizing environmental impact.
1. Cover image - p. c 2. Title page - p. iii 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xi 6. Preface - p. xv 7. Acknowledgment - p. xix 8. Part I Foundations of quantum agriculture - p. 1 9. Chapter 1 Climate and weather prediction using quantum computing - p. 3 10. Chapter 2 AgriQML: A novel quantum machine learning framework for agriculture crop yield prediction - p. 35 11. Part II Quantum instrumentation for smart agriculture - p. 63 12. Chapter 3 Quantum sensors in soil health monitoring - p. 65 13. Chapter 4 Quantum cryptography for agri-data security quantum sensors for soil health monitoring - p. 95 14. Part III Secure and resilient quantum agricultural systems - p. 139 15. Chapter 5 Quantum cryptography for securing smart agriculture: A future-ready framework for data integrity and resilience - p. 141 16. Chapter 6 Quantum cryptography for secure agricultural data: Applications and impact - p. 167 17. Part IV Water sustainability and resource governance - p. 199 18. Chapter 7 Analyzing fresh water shortage crises and the need for government intervention to manage resources - p. 201 19. Part V Socio-economic, ethical and global perspectives - p. 215 20. Chapter 8 Frugal and inclusive quantum agri-tech ecosystems for the Global South - p. 217 21. Chapter 9 Quantum agriculture and its ethical futures: A multidisciplinary management inquiry - p. 249 22. Chapter 10 Ethical considerations and social impact in quantum agriculture - p. 273 23. Part VI Strategic vision - p. 313 24. Chapter 11 Roadmap for quantum agriculture: Challenges and future directions - p. 315 25. Index - p. 347
Quantum Computing and Instrumentation for Smart Agriculture provides a detailed overview of quantum technologies and their applications in agriculture, exploring its transformative potential in improving agricultural practices Organized in five parts, the first section of the book introduces quantum technologies, their historical context, and the need for innovation in agriculture. The following sections discuss specific applications, including quantum computing for data analysis, quantum and nano-enabled sensors for precision farming, and quantum imaging for crop monitoring. In addition to addressing technological advancements, the book highlights sustainable practices and the future of quantum agriculture. This book is a valuable resource for researchers, scientists, and professionals interested in the integration of quantum and nanoscience with agricultural innovation, offering insights into innovative solutions that improve productivity while minimizing environmental impact.
1. Cover image - p. c 2. Title page - p. iii 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xi 6. Preface - p. xv 7. Acknowledgment - p. xix 8. Part I Foundations of quantum agriculture - p. 1 9. Chapter 1 Climate and weather prediction using quantum computing - p. 3 10. Chapter 2 AgriQML: A novel quantum machine learning framework for agriculture crop yield prediction - p. 35 11. Part II Quantum instrumentation for smart agriculture - p. 63 12. Chapter 3 Quantum sensors in soil health monitoring - p. 65 13. Chapter 4 Quantum cryptography for agri-data security quantum sensors for soil health monitoring - p. 95 14. Part III Secure and resilient quantum agricultural systems - p. 139 15. Chapter 5 Quantum cryptography for securing smart agriculture: A future-ready framework for data integrity and resilience - p. 141 16. Chapter 6 Quantum cryptography for secure agricultural data: Applications and impact - p. 167 17. Part IV Water sustainability and resource governance - p. 199 18. Chapter 7 Analyzing fresh water shortage crises and the need for government intervention to manage resources - p. 201 19. Part V Socio-economic, ethical and global perspectives - p. 215 20. Chapter 8 Frugal and inclusive quantum agri-tech ecosystems for the Global South - p. 217 21. Chapter 9 Quantum agriculture and its ethical futures: A multidisciplinary management inquiry - p. 249 22. Chapter 10 Ethical considerations and social impact in quantum agriculture - p. 273 23. Part VI Strategic vision - p. 313 24. Chapter 11 Roadmap for quantum agriculture: Challenges and future directions - p. 315 25. Index - p. 347
