CropFusionNet: An Interpretable Deep Learning Framework for Probabilistic Crop Yield Forecasting
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Updated
Jul 20, 2026 - Jupyter Notebook
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crop-yield-forecasting
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Streamlit ML app predicting optimal crop types from N/P/K ratios, soil pH, temperature and rainfall using RandomForest + SHAP explainability. Batch CSV inference supported.
data-science machine-learning deep-learning neural-networks classification random-forest-regressor precision-agriculture streamlit agricultural-ai crop-yield-forecasting
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Updated
Mar 15, 2026 - Jupyter Notebook
District level seasonal crop yield forecast for Germany.
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Updated
Jun 8, 2026 - Jupyter Notebook
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