Quantum Computing and Instrumentation for Smart Agriculture

Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.Dr. Mohd Naved is an Associate Professor at Jaipuria Institute of Management in Noida, India, with over a decade of experience in Business Analytics, Data Science, and Artificial Intelligence. His research focuses on the applications of business analytics, data science, and artificial intelligence across various industries.

• Part I: Foundations of Quantum Agriculture1. Climate and Weather Prediction Using Quantum Computing2. AgriQML: A Novel Quantum Machine Learning Framework for Agriculture Crop Yield PredictionPart II: Quantum Instrumentation for Smart Agriculture3. Quantum Sensors in Soil Health Monitoring4. Quantum Cryptography for Agri-Data Security; Quantum Sensors for Soil Health MonitoringPart III: Secure and Resilient Quantum Agricultural Systems5. Quantum Cryptography for Securing Smart Agriculture: A Future-Ready Framework for Data Integrity and Resilience6. Quantum Cryptography for Secure Agricultural Data: Applications and ImpactPart IV: Water Sustainability and Resource Governance7. Analyzing Fresh Water Shortage Crises and the Need for Government Intervention to Manage ResourcesPart V: Socio-Economic, Ethical and Global Perspectives8. Frugal and Inclusive Quantum Agri-Tech Ecosystems for the Global South9. Quantum Agriculture and Its Ethical Futures: A Multi-Disciplinary Management Inquiry10. Ethical Considerations and Social Impact in Quantum AgriculturePart VI: Strategic Vision11. Roadmap for Quantum Agriculture: Challenges and Future Directions