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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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farmOS: A web-based farm record keeping application.
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
A system that uses ESP-NOW, LoRa, and other protocols to transport sensor data in remote areas without relying on WiFi.
Open source Farm management Information System (FMIS) - Connecting farms to the world
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.
The world’s first community-led, not-for-profit, digital platform joining farmers and scientists together for participatory assessment of social, environmental and economic outputs of farming systems.
Crop/Weed Field Image Dataset
tutorials made for biologists to learn deep learning
Provides growing, harvesting and recipe information for the 45 plants in the database as well as a json api so that people can hopefully use this data to build other apps.
Open Source Rootzone Monitoring
The soil mate app provides a simple and convenient way to collect soil data at sample locations in the field. The Soil Mate app is targeted across multiple industries, including agriculture, environmental science, geology, and mining. The current version of the app collects soil texture data.
Farm Calculators WordPress Plugin
Ruby client for interacting with the NASA (POWER) Agroclimatology Web Resource
Professional botanical cultivation database with AI-powered plant insights
Ruby library for calculating reference crop evapotranspiration (ETo)
The Sencrop JavaScript API client