Agro-informatics Data Sets

Collection of open agricultural data sets

Description

FAO Agro-informatics Data Sets is an open-access collection of agricultural datasets designed to support digital agriculture training, research, and capacity development. The data sets provide open access to agricultural information that supports digital agriculture training research and capacity development. The resource allows learners and practitioners to work with real data related to crops, soils, water, climate, and production systems. The platform strengthens understanding of data driven agriculture, encourages evidence-based decision making, and supports education in agrifood system analytics.

Technology

  • Big data
  • Desktop/web-based application
  • GIS

The resource uses cloud-based hosting, digital repositories, geospatial tools, downloadable data packages, interactive dashboards, and analytical interfaces that allow users to explore agricultural information sets. Data is organised to support machine learning applications, modelling exercises, statistical analysis, and geospatial visualisation.

Target

  • Academia and research institutions
  • Public sector
  • Farm advisors
  • Private sector
  • Agriculture cooperatives

The data sets serve students, researchers, practitioners, government agencies, and development partners who require open agricultural data for training research or digital capacity building. The resource also supports advisors and organisations developing data-driven agricultural solutions. Farmers can also benefit as secondary beneficiaries on projects and programmes that use the available data-sets.

Business model

  • Fully free

FAO provides the data sets as a free public good to support global learning digital skills development and inclusive access to agricultural information.

Impact

The resource aims to strengthens digital capacity across countries by enabling learners and institutions to work with real agricultural data. It supports the development of analytical skills promotes innovation and widens access to information that can improve decision making in agriculture. It could also accelerate digital transformation by making open data available for training research and solution development.

Four Betters

  • Better production
  • Better environment
  • Better life

Sustainable Development Goals

  • SDG 2: Zero hunger
  • SDG 12: Responsible consumption and production
  • SDG 9: Industry, innovation, and infrastructure
  • SDG 13: Climate action
  • SDG 17: Partnerships for the goals
  • SDG 15: Life on land
  • SDG 11: Sustainable cities and communities
For detailed description of each attribute and parameter, check the AgriTech Observatory Taxonomy >

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Source: FAO AgriTech Observatory

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