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HybridML-Phenology
PublicPCSE-Gym
PublicCropGym 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 modelsAgML-CY-Bench
PublicCY-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.NUE_PCSE-Gym
PublicA-scab
Publicsample_data
PublicEDAM
PublicEDAM (Environmental Data Acquisition Module) is a template framework that facilitates timeseries data acquisition and integrationCropGym-ToMeasureOrNot
Public- Implementation of Machine learning baseline for large-scale crop yield forecasting
MERRA-2-Download
Publicsimulation-assisted-ML
PublicBigDataMOOC_content
PublicMapReduceIslandGame
PublicBigDataMOOC
PublicThe tutorials for the edX course Big Data for Agri-Food: Principles and Toolscrop-gym
Publiclocomotiondatalake
Publictomatula
Public