GitHub repository: AnisaAubin/SimFarm2030
Primary language: Jupyter Notebook
Description: SimFarm2030 aims to use climate data collected by the Met Office to model wheat production metrics using a Bayesian inference approach. This approach provides extreme flexibility, allowing the model to be applied not only to wheat data but essentially any time series, climate sensitive data. This approach also allows for a huge dynamic range in what can be predicted, with predictions possible from highly localised grids to national production metrics.