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Chapter 1: Revolutionizing Agriculture with IoT and Artificial Intelligence
Chapter 2: Digital Agriculture: Integrating IoT and AI for Sustainable Food Production
Chapter 3: IoT Sensors and Networks for Crop Monitoring and Management
Chapter 4: Smart Irrigation and Water Management through IoT Technologies
Chapter 5: AI-Powered Predictive Analytics for Crop Yield Optimization
Chapter 6: Machine Learning for Pest and Disease Detection in Crops
Chapter 7: Precision Agriculture: Merging IoT and AI for Site-Specific Management
Chapter 8: IoT-enabled Variable Rate Technologies for Optimal Resource Use
Chapter 9: Data Fusion and Integration Platforms for Smart Farming
Chapter 10: Big Data Analytics in Agriculture: Harnessing IoT-generated Insights
Chapter 11: Smart Livestock Farming: Monitoring and Health Management through IoT
Chapter 12: AI Applications in Animal Behavior Analysis and Welfare
Chapter 13: Blockchain and IoT for Food Supply Chain Transparency
Chapter 14: AI-Enabled Food Quality and Safety Assurance
Chapter 15: Data Security and Privacy in IoT-Enabled Agriculture
Chapter 16: Ethical Considerations of AI and IoT in Farming
Chapter 17: Government Initiatives and Policies for Smart Agriculture
Chapter 18: Adoption Challenges and Incentives for IoT and AI in Agriculture
Chapter 19: Emerging Trends in IoT, AI, and Agricultural Science
Chapter 20: Smart Farming Beyond Boundaries: Global Collaboration and Innovation
Chapter 21: Unmanned Aerial Vehicles (UAVs): The Key Component of Digital Agriculture for Increased Profitability and Healthy Crop Production
1. Dr. Sheetanshu Gupta
2. Dr. Wajid Hasan
3. Dr. Shivom Singh
4. Dr. Dhirendra Kumar
5. Dr. Mohammad Javed Ansari
6. Dr. Shabistana Nisar
