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  1. Meta-analysis-with-cost-benefit-assessment Meta-analysis-with-cost-benefit-assessment Public

    Develop meta-random-forest models to quantify the enviromental-agronomic performances (SOC, N2O emissions, N leaching, crop yield) of two climate-smart practices promoted in the US. Use these model…

    Jupyter Notebook

  2. KGML-SOC KGML-SOC Public

    Develop GRU-based KGML model for simulating annual SOC change and crop yield using synthetic data from ecosys.

    Python 1

  3. dinov2 dinov2 Public

    Forked from facebookresearch/dinov2

    PyTorch code and models for the DINOv2 self-supervised learning method.

    Jupyter Notebook

  4. AI4Agriculture/PyKGML_development AI4Agriculture/PyKGML_development Public

    PyKGML is a Python library to facilitate the development of knowledge-guided machine learning (KGML) models in agriculture and forestry

    Jupyter Notebook 4 1

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