A curated list of awesome open source technology for agriculture, farming, and gardening.
Agriculture is the science and art of cultivating plants and livestock for food and materials.
Contributions welcome! Please follow the contributing guidelines.
development from Ecoterra bot
precision farming rover, Odrive, Python.
Ag AGV ROS1 precision farming rover
Delta & Rover
Open source precision gardening project.
Open source farming robot.
Robust and efficient coverage paths for autonomous agricultural vehicles.
A Development Platform for Autonomous Weeding.
Europe-funded research project
Open Source community focusing on using Robot Operating System to empower farmers with robotics tools.
Line following weeding robot
WordPress plugin for calculating various farming and crop related information.
Ruby client for interacting with the NASA (POWER) Agroclimatology Web Resource.
Ruby library for calculating reference crop evapotranspiration (ETo).
A dataset, API, and python parser for USDA plant hardiness zones.
Global summary daily weather data in R.
Code that makes the Iowa Environmental Mesonet run.
Python package for calculating reference/potential evapotranspiration (ETo).
A python two source energy balance model for estimation of evapotranspiration with remote sensing data.
R library for simplified access to NCSS soil databases.
A community that values open data and computational tools for advancing epidemiology and pathogen population biology and ecology.
Curated collection of machine learning datasets specifically designed to address food security challenges in developing regions.
Controlled Environment Agriculture Open Data repository providing standardized datasets for greenhouse and indoor farming research with data analysis tools.
Open source remote sensing dataset for global crop type mapping with 95,186 labeled datapoints from satellite imagery, supporting machine learning research for food security.
Dataset comprising field images, vegetation segmentation masks and crop/weed plant type annotations.
Ground truth crop type observations dataset with geolocated field data for validation and training of cropland classification models.
Record keeping & crop database, nice API
Dataset containing leaf images of healthy and diseased plants, covering 38 disease classes across 14 different crops.
A multimodal agricultural dataset for soybean yield forecasting, integrating yield performance, management practices, weather data, and soil parameters.
1PB public domain high resolution sensor data from sorghum breeding trials ([data publication](https://doi.org/10.5061/dryad.4b8gtht99) with large files available on [globus.org at ncsa#terra-public](https://app.globus.org/file-manager?origin_id=e8feaff4-96cd-11ea-bf90-0e6cccbb0103&origin_path=%2F))
Open Source project providing tools to simplify communication between growers, their machines, and their partners.
Open-Source Digital Infrastructure for the Agriculture Ecosystem.
Contains aWhere's API platform code samples.
Production-ready Rust crate for professional botanical data management with taxonomic hierarchy, cultivation tracking, and Darwin Core compliance.
A collection of code examples using the ClearAg APIs.
Open Source data standards and IoT framework that help connect farm systems and enable practical smart farming and agrifood solutions—part of the larger Fiware.org project.
CSharp JDLink Machine Data API client example.
OADA is an open project designed to bring interoperability, security, and privacy to agricultural data.
Java MyJohnDeere API client example.
Node.js MyJohnDeere API client example.
Python MyJohnDeere API client example.
Open Technology Ecosystem for Agricultural Management
Sample datacards, shapefiles, and other files you can use for testing.
Sencrop API Javascript client implementation. Read and manage Sencrop weather stations.
Farm management information system for farmers and small enterprises built with Ruby on Rails and PostgreSQL/PostGIS.
Web-based farm record keeping application built with Drupal and PHP.
LiteFarm is the world’s first community-led, not-for-profit, Farm management system
Helper app designed to assist the collection of soil data.
Free and open source farming management system for everyone built with Go and Vue.js.
Awesome GIS is a list collecting abundant GIS related sources.
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system.
Reads and writes ESRI Shapefiles in pure Python.
RGeo Shapefile is an optional module for RGeo for reading geospatial data from ESRI shapefiles in Ruby.
Ag precision mapping and section control software.
System using ESP-NOW, LoRa, and other protocols to transport sensor data in remote areas without relying on WiFi.
Worldwide community of farmers that build and modify our own tools.
Open Source ecosystem of technologies that enable and promote transparency, networked experimentation, education, and hyper-local production.
Fully Automated Hydroponic OS
Open Source Rootzone Monitoring, API and open source hat for the RaspberryPi.
Open Source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
RTK GPS tractor autosteer system with a web interface that you can control with a smartphone and can run on a Raspberry Pi.
a demo smart farming project using ThingsBoard to collect sensor data and display it on real-time agricultural dashboards.
Provides growing, harvesting and recipe information for the 45 plants in the database as well as a JSON API.
A free and open database for farming and gardening knowledge built with Ruby on Rails.
Centralized framework for agricultural machine learning.
R package providing an extensive collection of datasets from agricultural experiments.
Deep gaussian process for crop yield prediction based on remote sensing data.
Tutorials for deep learning based analysis (mainly) on biological relavent themes.
Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability.
Plant phenotyping software using computer vision.
A curated list of awesome tools, tutorials and APIs related to data from the Copernicus Sentinel Satellites.
List of reference, applications of common Vegetation Indices for Multi-spectral, hyper-spectral and UAV images.
Deep learning for aerial/satellite imagery.
Software system processing high resolution satellite images for agricultural purposes.