pchukwuemeka424 / AI-Powered-Crop-Yield-Prediction-Using-Soil-and-Weather-Data
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Train regression models to predict yields (e.g., maize or cassava) using rainfall, temperature, and soil pH as features. Use SHAP or LIME to interpret influential variables. Source data from FAO or local agricultural surveys
48May 24, 2025Updated 8 months ago

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