Artificial Intelligence in Agriculture: Opportunities, Risks, and Future Perspectives
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
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