- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
The book provides a discussion on advanced novel technologies and their integration for intelligent sensor data processing. It focuses on optimization models for agriculture issues such as food traceability, supply chain management, and energy resource management. The text also covers case studies from agriculture-based companies to provide more practical exposure to the readers.
This book:
Discusses smart architectures through a blend of technologies such as the Internet of Things, edge computing, fog computing, and blockchain for agriculture data handling and automation.
Covers approaches towards supply chain management, food traceability, health ecosystems, and energy resource management.
Presents solutions and approaches for real-time issues such as livestock monitoring, agriculture waste management, crop health, and irrigation issues.
Highlights smart optimized solutions through novel farming technologies such as vertical farming, UAV-based farming solution, and agriculture cybernetics.
Showcases smart strategies for agriculture waste management, and explains crop health sensing methods, and applications.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, agricultural science, and information technology.
Contents
1. Key Pillars for Sustainability in Agriculture. 2. Emerging Technologies and their Uses in Agriculture Sector. 2. Investigating the Role of Artificial Intelligence for Ethical and Sustainable Food Production. 3. Innovations, Applications, and Future Prospects in Agriculture Sector through Emerging Technologies. 4. Next-Gen Agriculture: Resolving Issues with 5G and Emerging Technologies on Sustainable Solutions. 5. Exploring the Role of Machine Learning and Blockchain in the Context of IoT: Towards Smart Agriculture System. 6. Empowering Indian Agriculture through Intelligent Automation: A Fuzzy Wireless Sensor Network Approach. 7. Smart Farming Development Integrating IoT-Based Solutions. 8. AI-Driven Optimization of Biosurfactant Production from Agricultural Waste: A Sustainable Solution to Pollution and Resource Utilization. 9. Convergence of Machine Learning, Deep Learning and IoT for Plant Disease Detection. 10. Smart Technologies for Predicting Shelf-Life of Fruit and Vegetables towards Sustainable Agriculture. 11. Predictive Analytics in Agriculture: Machine Learning for Crop Yield Estimation. 12. AI-Driven Wild Animal Detection and Tracking in Agriculture Fields Using Deep Learning. 13. AI-Driven Wild Animal Detection and Tracking in Agriculture Fields Using Deep Learning.
