Artificial Intelligence in Agriculture: Opportunities, Risks and Future Perspectives

Contents: 1. Farming Automation and Digitization in Agriculture. 2. Artificial Intelligence (AI) in Agriculture and its Future Estimations. 3. Real-time Crop Monitoring in Agriculture. 4. Prospects and Challenges of the Internet in Digital Farming. 5. IoT and Machine Learning Applications and Techniques in Sustainable and Precision Farming. 6. Robotics and Automation in Precision Agriculture. 7. Drones Based Technology in Smart Agriculture. 8. Sensors-based Technology for Smart Agriculture. 9. Smart E-agriculture Monitoring System. 10. Machine Intelligence Techniques for Agricultural Production. 11. Transforming Agriculture with Artificial Intelligence. 12. Precision Agriculture: Weather Forecasting for Farming. 13. Applications of Image Processing and Soft Computing Systems in Agriculture. 14. Artificial Intelligence, Block Chain and Quantum Computing. 15. Ushering in a New Growth Wave: From Artificial Intelligence to Agricultural Intelligence. 16. Determining Custom Fertilizer Profiles Based on Soil Chemistry Using Machine Learning. 17. Use of Smart Techniques to Mitigate Water Scarcity. 18. Heuristic Prediction of Rainfall Using Machine Learning Techniques. 19. Cloud-based Autonomic System for Delivering Agriculture as a Service. 20. Space Technology Use in Crop Insurance. 21. Market Scenarios and Investment Trends in AI and Digital Applications in Agriculture. 22. Artificial Intelligence Revolutionising Agriculture in India.