nimaa66 / Crop-Yield-EstimationView on GitHub
I employ an advanced approach combining Google Earth Engine (GEE) and data from the MODIS satellite to gather comprehensive remote sensing data. This data is then analyzed using cutting-edge Machine Learning Algorithms, specifically XGBoost and Random Forest (RF), to accurately predict crop yields within a cultivation season.
☆12Jan 15, 2024Updated 2 years ago

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