BigDataWUR's repositories
MLforCropYieldForecasting
Implementation of Machine learning baseline for large-scale crop yield forecasting
AgML-crop-yield-forecasting
AgML aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.
simulation-assisted-ML
Implementation for the paper 'Simulation-assisted machine learning for operational digital twins'
PCSE-Gym
CropGym is a highly configurable Python gymnasium environment to conduct Reinforcement Learning (RL) research for crop management. CropGym is built around PCSE, a well established python library that includes implementations of a variety of crop simulation models
BigDataMOOC
The tutorials for the edX course Big Data for Agri-Food: Principles and Tools
locomotiondatalake
Software accompanying the paper "Storing, combining, and analysing animal experimental data in the big data era"
MapReduceIslandGame
An interactive game for Map-Reduce