This project applies machine learning to predict crop yield using synthetic remote sensing and weather data, showcasing how vegetation indices and climatic factors can influence agricultural productivity. It demonstrates yield forecasting with Random Forest and visual insights into feature importance.
☆13Mar 20, 2026Updated last week
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