Awesome Agriculture

A curated directory of open source technology projects for agriculture, farming, and gardening, covering hardware, software, and data resources.

Website: https://github.com/brycejohnston/awesome-agriculture#readme
Category: Themed Directories
Tags: awesome-lists, agriculture, open-source

Description

Awesome Agriculture is an open-source, community-maintained list of tools and projects relevant to modern agriculture and gardening. It aggregates links to software, hardware designs, datasets, and learning resources that support agricultural research, farm management, and practical on-the-ground farming and gardening work.

Features

• Curated open source project list

  • Focused on agriculture, farming, and gardening.
  • Includes both software and hardware projects, plus data resources.

• Topical organization
  Projects and resources are grouped into thematic sections, including:

  • Automation and Robotics – tools and platforms for agricultural automation, robotics, and mechanization.
  • Calculators – calculators and computational tools relevant to farm planning, inputs, and analysis.
  • Climate, Environment and Weather – weather and climate tools, environmental monitoring, and related data services.
  • Crop Modeling, Phenotyping, and Pathology – crop growth models, plant phenotyping, and plant disease/pathology tools.
  • Datasets – open datasets applicable to agricultural research, modeling, and decision-making.
  • Data Standardization, Interoperability and APIs – standards, schemas, and APIs enabling data exchange and integration in agriculture.
  • Farm Management Systems and Record Keeping – farm management software, record-keeping tools, and operational tracking systems.
  • Geospatial and GIS
    • GIS Resources – geospatial data and reference materials.
    • GIS Platforms – GIS software platforms used in agricultural contexts.
    • Shapefiles – geospatial shapefiles relevant to agricultural mapping.
  • IoT, Hardware – open hardware projects, sensors, and IoT platforms for farm and garden monitoring and control.
  • Knowledgebases and Learning Resources – educational materials, documentation hubs, and learning resources for ag tech.
  • Machine Learning and AI – ML and AI tools and frameworks applied to agricultural problems.
  • Remote Sensing and Imagery – satellite, aerial, and other imagery tools and resources for agricultural monitoring.

• Open contribution model

  • Public contribution guidelines for adding and improving listed resources.
  • Community-driven updates via GitHub pull requests.

• Open content license

  • Released under CC0 1.0 Universal (Public Domain Dedication).
  • Copyright and related rights waived to the extent possible under law, enabling unrestricted reuse and remixing.

License

• Type: CC0 1.0 Universal (Public Domain Dedication)
• Summary: The list can be copied, modified, and redistributed without restriction, including for commercial purposes, where legally permitted.

Pricing

• Cost: Free
• Model: Open-source public resource under CC0; no paid plans or pricing tiers.

Maintainer & Community

• Original maintainer: Bryce Johnston (GitHub: brycejohnston).
• Contributors: Multiple contributors via GitHub.
• Contribution method: Fork-and-pull-request workflow following the listed contributing guidelines.