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  1. findOUT findOUT Public

    A desktop app for developing your own crop disease forecasting tools using anomaly detection and machine learning algorithms

    2

  2. 4C-model 4C-model Public template

    A desktop app for performing climate change risk assessments. Fit a single-variable model to your data and make spatial projections in real crop distributions under a range of future climates.

    1

  3. futureCrop futureCrop Public

    A free, standalone desktop app that provides a simple front-end to fit complex machine learning algorithms to data, and perform climate change risk assessments in real crop locations.

    1

  4. autoMLfast autoMLfast Public

    A standalone desktop app for automating the machine learning workflow - no experience required

    1

  5. blacklegRandomForest blacklegRandomForest Public

    A Random Forest model for predicting incidence of potato blackleg at the landscape-scale.

    MATLAB 1

  6. potato-virus-machine-learning potato-virus-machine-learning Public

    Code for training, testing, testing, and interpreting machine learning models for predicting potato virus Y incidence at the landscape-scale.

    MATLAB 1