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https://github.com/eric-erki/-awesome-agriculture
Open source technology for agriculture, farming, and gardening
https://github.com/eric-erki/-awesome-agriculture
List: -awesome-agriculture
Last synced: 16 days ago
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Open source technology for agriculture, farming, and gardening
- Host: GitHub
- URL: https://github.com/eric-erki/-awesome-agriculture
- Owner: eric-erki
- License: other
- Created: 2020-02-03T06:28:43.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-02-03T06:29:07.000Z (almost 5 years ago)
- Last Synced: 2024-04-22T02:11:27.436Z (8 months ago)
- Size: 42 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- License: LICENSE.md
Awesome Lists containing this project
- ultimate-awesome - -awesome-agriculture - Open source technology for agriculture, farming, and gardening. (Other Lists / PowerShell Lists)
README
# Awesome Agriculture [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
> A curated list of awesome open source technology for agriculture, farming, and gardening.
[Agriculture](https://en.wikipedia.org/wiki/Agriculture) is the science and art of cultivating plants and livestock for food and materials.
Contributions welcome! Please follow the [contributing guidelines](https://github.com/beaorn/awesome-agriculture/blob/master/contributing.md).
## Contents
- [Calculators](#calculators)
- [Climate, Environment and Weather](#climate-environment-and-weather)
- [Crop Modeling, Phenotyping, and Pathology](#crop-modeling-phenotyping-and-pathology)
- [Datasets, Machine Learning and AI](#datasets-machine-learning-and-ai)
- [Data Standardization, Interoperability and APIs](#data-standardization-interoperability-and-apis)
- [Farm Management Systems and Record Keeping](#farm-management-systems-and-record-keeping)
- [Geospatial and GIS](#geospatial-and-gis)
- [IoT, Hardware, Automation and Robotics](#iot-hardware-automation-and-robotics)
- [Knowledgebases and Learning Resources](#knowledgebases-and-learning-resources)
- [Remote Sensing and Imagery](#remote-sensing-and-imagery)## Calculators
- [farm-calculators](https://github.com/beaorn/farm-calculators) - WordPress plugin for calculating various farming and crop related information.
## Climate, Environment and Weather
- [agroclimatology](https://github.com/beaorn/agroclimatology) - Ruby client for interacting with the NASA (POWER) Agroclimatology Web Resource.
- [bomrang](https://github.com/ropensci/bomrang) - Australian Government Bureau of Meteorology Data from R.
- [evapotranspiration](https://github.com/beaorn/evapotranspiration) - Ruby library for calculating reference crop evapotranspiration (ETo).
- [frostline](https://github.com/waldoj/frostline) - A dataset, API, and python parser for USDA plant hardiness zones.
- [GSODR](https://github.com/ropensci/GSODR) - Global summary daily weather data in R.
- [iem](https://github.com/akrherz/iem) - Code that makes the Iowa Environmental Mesonet run.
- [PyETo](https://github.com/woodcrafty/PyETo) - Python package for calculating reference/potential evapotranspiration (ETo).
- [pyTSEB](https://github.com/hectornieto/pyTSEB) - A python two source energy balance model for estimation of evapotranspiration with remote sensing data.
- [soilDB](https://github.com/ncss-tech/soilDB) - R library for simplified access to NCSS soil databases.## Crop Modeling, Phenotyping, and Pathology
- [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.
## Datasets, Machine Learning and AI
- [agridat](https://github.com/kwstat/agridat) - R package providing an extensive collection of datasets from agricultural experiments.
- [Crop Yield Prediction](https://github.com/JiaxuanYou/crop_yield_prediction) - Deep gaussian process for crop yield prediction based on remote sensing data.
- [CWFID](https://github.com/cwfid/dataset) - Dataset comprising field images, vegetation segmentation masks and crop/weed plant type annotations.
- [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.
- [PlantCV](https://github.com/danforthcenter/plantcv) - Plant phenotyping using computer vision.## Data Standardization, Interoperability and APIs
- [AgGateway’s ADAPT Toolkit](https://adaptframework.org) - Open Source project providing tools to simplify communication between growers, their machines, and their partners.
- [agworld_api_client](https://github.com/agworld/agworld_api_client) - Example Agworld API Ruby client library that is compliant with specification defined by jsonapi.org.
- [agx-ruby](https://github.com/beaorn/agx-ruby) - Ruby client for Proagrica's agX platform APIs.
- [API-Code-Samples](https://github.com/aWhereAPI/API-Code-Samples) - Contains aWhere's API platform code samples.
- [ClearAg-API-Examples](https://github.com/IterisClearAg/ClearAg-API-Examples) - A collection of code examples using the ClearAg APIs.
- [Open Ag Data Alliance](https://github.com/oada) - OADA is an open project designed to bring interoperability, security, and privacy to agricultural data.
- [MyJohnDeereAPI-OAuth-CS-Client](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth-CS-Client) - C Sharp MyJohnDeere API client implementation.
- [MyJohnDeereAPI-OAuth-Java-Client](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth-Java-Client) - Java MyJohnDeere API client implementation.
- [MyJohnDeereAPI-OAuth-NodeJS-Client](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth-NodeJS-Client) - Node.js MyJohnDeere API client implementation.
- [MyJohnDeereAPI-OAuth-PHP-Client](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth-PHP-Client) - PHP MyJohnDeere API client implementation.
- [MyJohnDeereAPI-OAuth-Python-Client](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth-Python-Client) - Python MyJohnDeere API client implementation.
- [MyJohnDeereAPI-OAuth-Python3-Client](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth-Python3-Client) - Python3 MyJohnDeere API client implementation.
- [MyJohnDeereAPI-OAuth-Ruby-Client](https://github.com/JohnDeere/MyJohnDeereAPI-OAuth-Ruby-Client) - Ruby MyJohnDeere API client implementation.
- [SampleData](https://github.com/JohnDeere/SampleData) - Sample datacards, shapefiles, and other files you can use for testing.
- [SencropAPI-JavaScript-Client](https://github.com/sencrop/sencrop-js-api-client) - Sencrop API Javascript client implementation. Read and manage Sencrop weather stations.## Farm Management Systems and Record Keeping
- [AgroSense](https://bitbucket.org/corizon/agrosense) - Free and open source farm management suite built with Java.
- [farmOS](https://github.com/farmOS/farmOS) - Web-based farm record keeping application built with Drupal and PHP.
- [Ekylibre](https://github.com/ekylibre/ekylibre) - Farm management information system for farmers and small enterprises built with Ruby on Rails and PostgreSQL/PostGIS.
- [Tania](https://github.com/Tanibox/tania-core) - Free and open source farming management system for everyone built with Go and Vue.js.## Geospatial and GIS
### GIS Resources
- [Awesome GIS](https://github.com/sshuair/awesome-gis) - Awesome GIS is a list collecting abundant GIS related sources.
### GIS Platforms
- [QGIS](https://qgis.org) - QGIS is a free, open source, cross platform (lin/win/mac) geographical information system.
### Shapefiles
- [pyshp](https://github.com/GeospatialPython/pyshp) - Reads and writes ESRI Shapefiles in pure Python.
- [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.## IoT, Hardware, Automation and Robotics
- [AgOpenGPS](https://github.com/farmerbriantee/AgOpenGPS) - Ag precision mapping and section control software.
- [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.
- [FarmBot](https://github.com/farmbot) - Open source precision agriculture CNC farming project.
- [Open Agriculture Foundation](https://github.com/OpenAgricultureFoundation) - Open Source ecosystem of technologies that enable and promote transparency, networked experimentation, education, and hyper-local production.
- [OpenMinder](https://github.com/autogrow/openminder) - Open Source Rootzone Monitoring, API and open source hat for the RaspberryPi.## Knowledgebases and Learning Resources
- [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.
- [OpenFarm](https://github.com/openfarmcc/OpenFarm) - A free and open database for farming and gardening knowledge built with Ruby on Rails.## Remote Sensing and Imagery
- [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.
- [Raster Vision](https://github.com/azavea/raster-vision) - Deep learning for aerial/satellite imagery.
- [Sen2Agri](https://github.com/Sen2Agri/Sen2Agri-System) - Software system processing high resolution satellite images for agricultural purposes.## License
[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)
To the extent possible under law, [Bryce Johnston](https://github.com/beaorn) has waived all copyright and related or neighboring rights to this work.