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Open source technology for agriculture, farming, and gardening
GitHub stars and default-branch commits for brycejohnston/awesome-agriculture.
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An open source library and framework for deep learning on satellite and aerial imagery.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
Plant phenotyping with image analysis
An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Open source remote sensing dataset with benchmarks
Python package for calculating reference/potential evapotranspiration (ETo).
A dataset, API, and parser for USDA plant hardiness zones.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
tutorials made for biologists to learn deep learning
Example Python Application for OAuth2