WUR-AI/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
This tool helps agricultural scientists and researchers explore optimal crop management strategies using advanced simulation. You input different crop types, soil conditions, and management actions (like irrigation or fertilization schedules), and it outputs simulated crop yields and environmental impacts. It's designed for those investigating how various farming decisions affect crop growth over time.
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Use this if you are a crop scientist or agricultural researcher experimenting with reinforcement learning to find the most effective ways to manage crops.
Not ideal if you are a farmer looking for direct, real-time decision support for your current farm operations.
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Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Dec 17, 2024
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