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140 lines
11 KiB
Plaintext
# Awesome Agriculture [](https://awesome.re)
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> A curated list of awesome open source technology for agriculture, farming, and gardening.
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[Agriculture](https://en.wikipedia.org/wiki/Agriculture) is the science and art of cultivating plants and livestock for food and materials.
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Contributions welcome! Please follow the [contributing guidelines](https://github.com/beaorn/awesome-agriculture/blob/master/contributing.md).
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## Contents
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- [Automation and Robotics](#automation-and-robotics)
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- [Calculators](#calculators)
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- [Climate, Environment and Weather](#climate-environment-and-weather)
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- [Crop Modeling, Phenotyping, and Pathology](#crop-modeling-phenotyping-and-pathology)
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- [Datasets](#datasets)
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- [Data Standardization, Interoperability and APIs](#data-standardization-interoperability-and-apis)
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- [Farm Management Systems and Record Keeping](#farm-management-systems-and-record-keeping)
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- [Geospatial and GIS](#geospatial-and-gis)
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- [IoT, Hardware](#iot-hardware)
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- [Knowledgebases and Learning Resources](#knowledgebases-and-learning-resources)
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- [Machine Learning and AI](#machine-learning-and-ai)
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- [Remote Sensing and Imagery](#remote-sensing-and-imagery)
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## Automation and Robotics
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- [Ant Robotics](https://antrobotics.de/) - development from Ecoterra bot
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- [Acorn Rover](https://github.com/Twisted-Fields) - precision farming rover, Odrive, Python.
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- [Earth Rover](https://github.com/earthrover) - Ag AGV ROS1 precision farming rover
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- [EcoTerra Bot](https://ecoterrabot.com/) - Delta & Rover
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- [FarmBot](https://github.com/farmbot) - Open source precision gardening project.
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- [Fields2Cover](https://github.com/Fields2Cover/Fields2Cover) - Robust and efficient coverage paths for autonomous agricultural vehicles.
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- [Romi project](https://media.romi-project.eu/documents/index.html) - Europe-funded research project
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- [ROS Agriculture](http://rosagriculture.org/) - Open Source community focusing on using Robot Operating System to empower farmers with robotics tools.
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- [Weedinator](https://hackaday.io/project/53896-weedinator-2019) - Line following weeding robot
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## Calculators
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- [farm-calculators](https://github.com/brycejohnston/farm-calculators) - WordPress plugin for calculating various farming and crop related information.
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## Climate, Environment and Weather
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- [agroclimatology](https://github.com/brycejohnston/agroclimatology) - Ruby client for interacting with the NASA (POWER) Agroclimatology Web Resource.
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- [evapotranspiration](https://github.com/brycejohnston/evapotranspiration) - Ruby library for calculating reference crop evapotranspiration (ETo).
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- [frostline](https://github.com/waldoj/frostline) - A dataset, API, and python parser for USDA plant hardiness zones.
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- [GSODR](https://github.com/ropensci/GSODR) - Global summary daily weather data in R.
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- [iem](https://github.com/akrherz/iem) - Code that makes the Iowa Environmental Mesonet run.
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- [PyETo](https://github.com/woodcrafty/PyETo) - Python package for calculating reference/potential evapotranspiration (ETo).
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- [pyTSEB](https://github.com/hectornieto/pyTSEB) - A python two source energy balance model for estimation of evapotranspiration with remote sensing data.
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- [soilDB](https://github.com/ncss-tech/soilDB) - R library for simplified access to NCSS soil databases.
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## Crop Modeling, Phenotyping, and Pathology
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- [Open Plant Pathology](https://www.openplantpathology.org/) - A community that values open data and computational tools for advancing epidemiology and pathogen population biology and ecology.
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## Datasets
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- [CWFID](https://github.com/cwfid/dataset) - Dataset comprising field images, vegetation segmentation masks and crop/weed plant type annotations.
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- [Growstuff](https://www.growstuff.org/crops) - Record keeping & crop database, nice API
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- [PlantVillage](https://www.kaggle.com/datasets/emmarex/plantdisease) - Dataset containing leaf images of healthy and diseased plants, covering 38 disease classes across 14 different crops.
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- [SoybeanYield](https://github.com/saeedkhaki92/CNN-RNN-Yield-Prediction?tab=readme-ov-file) - A multimodal agricultural dataset for soybean yield forecasting, integrating yield performance, management practices, weather data, and soil parameters.
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- [TERRA REF](https://terraref.org) - 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))
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## Data Standardization, Interoperability and APIs
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- [AgGateway’s ADAPT Toolkit](https://adaptframework.org) - Open Source project providing tools to simplify communication between growers, their machines, and their partners.
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- [Agstack](https://github.com/agstack) - Open-Source Digital Infrastructure for the Agriculture Ecosystem.
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- [agx-ruby](https://github.com/brycejohnston/agx-ruby) - Ruby client for Proagrica's agX platform APIs.
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- [API-Code-Samples](https://github.com/aWhereAPI/API-Code-Samples) - Contains aWhere's API platform code samples.
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- [ClearAg-API-Examples](https://github.com/IterisClearAg/ClearAg-API-Examples) - A collection of code examples using the ClearAg APIs.
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- [JDLinkMachineDataAPI-OAuth2-CSharp-Example](https://github.com/JohnDeere/JDLinkMachineDataAPI-OAuth2-CSharp-Example) - CSharp JDLink Machine Data API client example.
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- [Open Ag Data Alliance](https://github.com/oada) - OADA is an open project designed to bring interoperability, security, and privacy to agricultural data.
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- [MyJohnDeereAPI-OAuth2-Java-Example](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth2-Java-Example) - Java MyJohnDeere API client example.
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- [MyJohnDeereAPI-OAuth2-NodeJS-Example](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth2-NodeJS-Example) - Node.js MyJohnDeere API client example.
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- [MyJohnDeereAPI-OAuth2-Python-Example](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth2-Python-Example) - Python MyJohnDeere API client example.
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- [OpenTeam](https://openteam.community/) - Open Technology Ecosystem for Agricultural Management
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- [SampleData](https://github.com/JohnDeere/SampleData) - Sample datacards, shapefiles, and other files you can use for testing.
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- [SencropAPI-JavaScript-Client](https://github.com/sencrop/sencrop-js-api-client) - Sencrop API Javascript client implementation. Read and manage Sencrop weather stations.
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## Farm Management Systems and Record Keeping
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- [farmOS](https://github.com/farmOS/farmOS) - Web-based farm record keeping application built with Drupal and PHP.
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- [Ekylibre](https://github.com/ekylibre/ekylibre) - Farm management information system for farmers and small enterprises built with Ruby on Rails and PostgreSQL/PostGIS.
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- [Soil Mate](https://github.com/Open-Source-Agriculture/soil_mate) - Helper app designed to assist the collection of soil data.
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- [Tania](https://github.com/Tanibox/tania-core) - Free and open source farming management system for everyone built with Go and Vue.js.
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- [LiteFarm](https://github.com/LiteFarmOrg/LiteFarm) - LiteFarm is the world’s first community-led, not-for-profit, Farm management system
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## Geospatial and GIS
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### GIS Resources
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- [Awesome GIS](https://github.com/sshuair/awesome-gis) - Awesome GIS is a list collecting abundant GIS related sources.
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### GIS Platforms
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- [QGIS](https://qgis.org) - QGIS is a free, open source, cross platform (lin/win/mac) geographical information system.
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### Shapefiles
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- [pyshp](https://github.com/GeospatialPython/pyshp) - Reads and writes ESRI Shapefiles in pure Python.
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- [rgeo-shapefile](https://github.com/rgeo/rgeo-shapefile) - RGeo Shapefile is an optional module for RGeo for reading geospatial data from ESRI shapefiles in Ruby.
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## IoT, Hardware
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- [AgOpenGPS](https://github.com/farmerbriantee/AgOpenGPS) - Ag precision mapping and section control software.
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- [DRO-Matic](https://github.com/drolsen/DRO-Matic) - Fully Automated Hydroponic OS for DIY DRO-Matic cabinets - Nutrient dosing, irrigation, topoffs, timers, EC & pH drift fixing.
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- [Farm-Data-Relay-System](https://github.com/timmbogner/Farm-Data-Relay-System) - System using ESP-NOW, LoRa, and other protocols to transport sensor data in remote areas without relying on WiFi.
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- [Farm Hack](https://farmhack.org/tools) - Worldwide community of farmers that build and modify our own tools.
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- [Open Agriculture Foundation](https://github.com/OpenAgricultureFoundation) - Open Source ecosystem of technologies that enable and promote transparency, networked experimentation, education, and hyper-local production.
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- [OpenMinder](https://github.com/autogrow/openminder) - Open Source Rootzone Monitoring, API and open source hat for the RaspberryPi.
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- [OpenWeedLocator](https://github.com/geezacoleman/OpenWeedLocator) - Open Source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
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- [Simplesteer](https://github.com/matmis/simplesteer) - RTK GPS tractor autosteer system with a web interface that you can control with a smartphone and can run on a Raspberry Pi.
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## Knowledgebases and Learning Resources
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- [Harvest Helper](https://github.com/damwhit/harvest_helper) - Provides growing, harvesting and recipe information for the 45 plants in the database as well as a JSON API.
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- [OpenFarm](https://github.com/openfarmcc/OpenFarm) - A free and open database for farming and gardening knowledge built with Ruby on Rails.
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## Machine Learning and AI
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- [AgML](https://github.com/Project-AgML/AgML) - Centralized framework for agricultural machine learning.
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- [agridat](https://github.com/kwstat/agridat) - R package providing an extensive collection of datasets from agricultural experiments.
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- [Crop Yield Prediction](https://github.com/JiaxuanYou/crop_yield_prediction) - Deep gaussian process for crop yield prediction based on remote sensing data.
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- [Deep Learning for Biologists with Keras](https://github.com/totti0223/deep_learning_for_biologists_with_keras) - Tutorials for deep learning based analysis (mainly) on biological relavent themes.
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- [FarmVibes.AI](https://github.com/microsoft/farmvibes-ai) - Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability.
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- [PlantCV](https://github.com/danforthcenter/plantcv) - Plant phenotyping software using computer vision.
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## Remote Sensing and Imagery
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- [Awesome Sentinel](https://github.com/Fernerkundung/awesome-sentinel) - A curated list of awesome tools, tutorials and APIs related to data from the Copernicus Sentinel Satellites.
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- [Raster Vision](https://github.com/azavea/raster-vision) - Deep learning for aerial/satellite imagery.
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- [Sen2Agri](https://github.com/Sen2Agri/Sen2Agri-System) - Software system processing high resolution satellite images for agricultural purposes.
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- [Awesome Vegetation Index](https://github.com/px39n/Awesome-Vegetation-Index) - List of reference, applications of common Vegetation Indices for Multi-spectral, hyper-spectral and UAV images.
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## License
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[](https://creativecommons.org/publicdomain/zero/1.0/)
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To the extent possible under law, [Bryce Johnston](https://github.com/brycejohnston) has waived all copyright and related or neighboring rights to this work.
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[agriculture.md Github](https://github.com/brycejohnston/awesome-agriculture
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)
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