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What is Soil Nitrogen Prediction Using Machine Learning about?

This study focuses on predicting soil available nitrogen in Northeast India using machine learning and digital mapping techniques. Five machine learning algorithms were employed to create a spatial prediction map based on 160 soil samples and environmental covariates, with Random Forest showing the best performance. The resulting high-resolution maps are intended to enhance site-specific nutrient management and support precision agriculture in sericulture systems.

Author

agnes fanny

Language

EN