pskelsey

Peter Skelsey's repositories

findOUT

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

MIT2 10

4C-model

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.

MIT1 10

autoMLfast

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

MIT1 10

blacklegRandomForest

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

Language:MATLABGPL-3.01 10

futureCrop

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.

MIT1 10

potato-virus-machine-learning

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

Language:MATLABGPL-3.01 10

4C-Lite-model

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

MIT010