BigDataWUR

BigDataWUR

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BigDataWUR's repositories

MLforCropYieldForecasting

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

Language:PythonLicense:MITStargazers:26Issues:3Issues:1

crop-gym

An OpenAI gym environment for crop management

Language:PythonLicense:MITStargazers:19Issues:4Issues:2

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.

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EDAM

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

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simulation-assisted-ML

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

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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

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BigDataMOOC

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

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locomotiondatalake

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

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:1Issues:2Issues:0
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MapReduceIslandGame

An interactive game for Map-Reduce

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