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The document discusses the application of Artificial Intelligence (AI) and Machine Learning (ML) in nutrient management within agriculture, highlighting their role in optimizing fertilizer application and improving crop productivity. It outlines various ML techniques, such as supervised and unsupervised learning, and their applications in precision agriculture, remote sensing, and automated decision support systems. The conclusion emphasizes the importance of these technologies in addressing global challeng
- Author
- raidikshesh8
- Language
- EN