Quantum Computing and Instrumentation for Smart Agriculture

Erscheinungsjahr 2026
ISBN: 978-0-443-44247-6
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g

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

• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines

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 received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in School of Computer Science and Artificial Intelligence (SCA), Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 100 Patents to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.

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. 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.