Smart agriculture : Harnessing machine learning for crop management / edited by Amol Dattatray Dhaygude, Suman Kumar Swarnkar, Priya Chugh, Yogesh Kumar Rathore.

Chapter 1. Reviewing detection of plant disease by making use of machine learning mechanism
Chapter 2. Future prospects and challenges of digital transformation in agriculture and dairy industries mechanisms
Chapter 3. Innovative IoT-driven solutions for real-time crop health surveillance and precision agriculture
Chapter 4. Optimizing resource allocation in precision agriculture through the application of K-means clustering
Chapter 5. Upholding ethical standards in modern agriculture: an examination of privacy-preserving machine learning techniques
Chapter 6. Exploring the effectiveness of decision trees for comprehensive detection of crop diseases in agricultural environments
Chapter 7. Integrating deep learning and image recognition in smart farming
Chapter 8. Exploring the effectiveness of decision trees for comprehensive detection of crop diseases in agricultural environments
Chapter 9. Enhancing crop yield prediction accuracy through the application of gradient descent optimization algorithms
Chapter 10. Machine learning models for early detection of pest infestation in crops: a comparative study