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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.
This library reads and writes ESRI Shapefiles in pure Python.
Plant phenotyping with image analysis
An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
Crop Yield Prediction with Deep Learning
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.
Code that makes the Iowa Environmental Mesonet run, or run into the ground.
Python package for calculating reference/potential evapotranspiration (ETo).
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
A dataset, API, and parser for USDA plant hardiness zones.
Example Python Application for OAuth2