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a-scab

advanced-machine-learning-course

agml-cy-bench

CY-Bench (Crop Yield Benchmark) is a comprehensive dataset and benchmark to forecast crop yields at subnational level. CY-Bench standardizes selection, processing and spatio-temporal harmonization of public subnational yield statistics with relevant predictors. Contributors include agronomers, climate scientists and machine learning researchers.

bigdatamooc

The tutorials for the edX course Big Data for Agri-Food: Principles and Tools

bigdatamooc_content

crop-gym

An OpenAI gym environment for crop management

domain-adaptation-for-pasture-digital-twins

edam

EDAM (Environmental Data Acquisition Module) is a template framework that facilitates timeseries data acquisition and integration

locomotiondatalake

Software accompanying the paper "Storing, combining, and analysing animal experimental data in the big data era"

mapreduceislandgame

An interactive game for Map-Reduce

ml4climateadaptationpolicy

mlforcropyieldforecasting

Implementation of Machine learning baseline for large-scale crop yield forecasting

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

sample_data

simulation-assisted-ml

Implementation for the paper 'Simulation-assisted machine learning for operational digital twins'

tomatula