Oraegbuayomide10/CGIAR-Crop-Yield-Prediction-using-Sentinel--2-Imagery-Climate-Variables-and-Soil-Data

This project entails applying deep learning algorithms on Sentinel-2 Imagery, Climate data (TERRACLIM), and Soil data from the ISRIC SoilGrids in predicting maize crop yield on Eastern African farms. # CGIAR-Crop-Yield-Prediction-using-Sentinel--2-Imagery-Climate-Variables-and-Soil-Data This project entails applying deep learning algorithms on Sentinel-2 Imagery, Climate data (TERRACLIM), and Soil data from the ISRIC SoilGrids in predicting maize crop yield on Eastern African farms.