Data-Driven Farming : Harnessing the Power of AI and Machine Learning in Agriculture (Paperback)

1. Leveraging IoT for Precision Health Monitoring in Livestock with Artificial Intelligence 2. Significance of Machine learning in Apple Disease Detection and Implications 3. Intelligent Inputs Revolutionizing Agriculture: An Analytical Study 4. Case Studies on the Initiatives and Success Stories of Edge AI Systems for Agriculture 5. Crop Recommender: Machine Learning-based Computational Method to Recommend the Best Crop Using Soil and Environmental Features 6. A Perusal of Machine-Learning Algorithms in Crop-Yield Prediction 7. Harvesting Intelligence: AI and ML Revolutionizing Agriculture 8. Using Deep Learning to Detect Apple Leaf Disease 9. Agricultural Crop Yield Prediction: Comparative Analysis? Using Machine Learning Models 10. Fundamentals of AI and Machine Learning with Specific Examples of Application in Agriculture 11. Farming Futures: Leveraging Machine Language for Potato Leaf Disease Forecasting and Yield Optimization 12. Classification of Farms for Recommendation of Rice Cultivation Using Naive Bayes and SVM: A Case Study 13. Neural Networks for Crop Disease Detection 14. Short-Term Weather Forecasting for Precision Agriculture in Jammu and Kashmir: A Deep Learning Approach 15. Deep Reinforcement Learning for Smart Irrigation