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1. Economic Efficiency through Livestock Production Monitoring and Prediction in Smart Agriculture. 2. Smart Crop Management for Increased Yield. 3. Smart Solutions and Sustainability for Agriculture using Deep Learning. 4. Bi-LSTM based Deep Learning Model for Crop Yield Prediction. 5. Food Image Recognition and Calorie Estimation. 6. Precision Agriculture: Navigating Environmental Sustainability. 7. Moving towards Sustainable and Smart Agriculture. 8. Green IOT for Smart Agricultural Monitoring. 9. Agricapital, a three-way agro-market aggregation using Cluster CRUD operations and role of ML in agriculture. 10. Optimizing 11. Green IoT for Smart Agricultural Monitoring. 12. Agricultural Farming Decision Support System using Artificial Intelligence: A Comparative Analysis. 13. Drones- the unmanned aerial vehicles for precision management of pests and diseases of crops. |