Smart Agriculture : Harnessing Machine Learning for Crop Management (Hardcover)

1. Reviewing Detection of Plant Disease by making use of Machine Learning Mechanism. 2.?Future Prospects and Challenges of Digital Transformation in Agriculture and Dairy Industries Mechanisms. 3.?Innovative IoT-Driven Solutions for Real-Time Crop Health Surveillance and Precision Agriculture. 4.?Optimizing Resource Allocation in Precision Agriculture through the Application of K-Means Clustering. 5.?Upholding Ethical Standards in Modern Agriculture: An Examination of Privacy-Preserving Machine Learning Techniques. 6.?Exploring the Effectiveness of Decision Trees for Comprehensive Detection of Crop Diseases in Agricultural Environments. 7.?Integrating Deep Learning and Image Recognition in Smart Farming. 8.?Exploring the Effectiveness of Decision Trees for Comprehensive Detection of Crop Diseases in Agricultural Environments. 9.?Enhancing Crop Yield Prediction Accuracy through the Application of Gradient Descent Optimization Algorithms. 10. Machine Learning Models for Early Detection of Pest Infestation in Crops: A Comparative Study.