Quantum Computing and Instrumentation for Smart Agriculture
- 1 Edición - 27 de julio de 2026
- Última edición
- Editores: Shubham Mahajan, Anand Nayyar, Mohd Naved
- Idioma: Inglés
Quantum Computing and Instrumentation for Smart Agriculture provides a detailed overview of quantum technologies and their applications in agriculture, exploring its transf… Leer más
Descripción
Descripción
Puntos claves
Puntos claves
- Reviews the fundamentals of quantum agriculture and discusses the emerging challenges and opportunities in the field
- Covers quantum innovations and state-of-the-art tools and techniques for improving crop yield and sustainability
- Features case studies and real-world examples on the successful implementations of quantum technologies in agriculture
De interès para
De interès para
Índice
Índice
1. Climate and Weather Prediction Using Quantum Computing
2. AgriQML: A Novel Quantum Machine Learning Framework for Agriculture Crop Yield Prediction
Part II: Quantum Instrumentation for Smart Agriculture
3. Quantum Sensors in Soil Health Monitoring
4. Quantum Cryptography for Agri-Data Security; Quantum Sensors for Soil Health Monitoring
Part III: Secure and Resilient Quantum Agricultural Systems
5. Quantum Cryptography for Securing Smart Agriculture: A Future-Ready Framework for Data Integrity and Resilience
6. Quantum Cryptography for Secure Agricultural Data: Applications and Impact
Part IV: Water Sustainability and Resource Governance
7. Analyzing Fresh Water Shortage Crises and the Need for Government Intervention to Manage Resources
Part V: Socio-Economic, Ethical and Global Perspectives
8. Frugal and Inclusive Quantum Agri-Tech Ecosystems for the Global South
9. Quantum Agriculture and Its Ethical Futures: A Multi-Disciplinary Management Inquiry
10. Ethical Considerations and Social Impact in Quantum Agriculture
Part VI: Strategic Vision
11. Roadmap for Quantum Agriculture: Challenges and Future Directions
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 31 de julio de 2026
- Idioma: Inglés
Sobre los editores
Sobre los editores
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Shubham Mahajan
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, India. 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.
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Anand Nayyar
Dr. Anand Nayyar is Professor in the School of Computer Science and Artificial Intelligence at Duy Tan University, Vietnam, where he serves as Vice-Chairman (Research) and Director of the IoT and Intelligent Systems Laboratory. His research interests include wireless sensor networks, Internet of Things, artificial intelligence, swarm intelligence, cloud computing, blockchain, cybersecurity, healthcare informatics, big data, drones, and wireless communications. He has published extensively in peer-reviewed journals, conference proceedings, book chapters, and scholarly books, and is an inventor with patents and copyrights in multiple jurisdictions. Dr. Nayyar is actively engaged in international research collaborations, research-funded projects, and postgraduate supervision. He serves on editorial boards and technical committees for international journals and conferences and contributes extensively to peer review and research evaluation activities. He is a Senior Member of IEEE and ACM.
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Mohd Naved
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.