Quantum Computing and Instrumentation for Smart Agriculture

Erscheinungsjahr 2026
ISBN: 978-0-443-44247-6
Verlag: Elsevier - Health Sciences Division

Buch, Englisch, 374 Seiten, Format (B × H): 191 mm x 234 mm, Gewicht: 764 g

Reihe: Micro and Nano Technologies

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.

Autoren/Hrsg.

Mahajan, Shubham

Nayyar, Anand

Naved, Mohd

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Technische Instrumentierung
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften

Inhaltsverzeichnis

Part I: Foundations of Quantum Agriculture
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

Über Autor(innen)

Nayyar, Anand
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.

Mahajan, Shubham
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.

Naved, Mohd
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.