aerial view of tractor on a green farm field

Description

The Degas Geospatial AI Platform is an artificial intelligence-powered geospatial analytics system developed by Degas Ltd. to analyse satellite imagery and geospatial data for agriculture, climate resilience, infrastructure, insurance, and environmental monitoring. The platform uses foundation AI models trained on millions of satellite images to generate insights that support land use analysis, farmland mapping, crop monitoring, climate risk assessment, and other geospatial applications.

Within agriculture, the platform supports Degas’ farmer financing and farm management operations by mapping farmland, monitoring crop conditions, and informing AI-assisted credit assessments and regenerative agriculture initiatives. Publicly available information indicates that the platform also has applications beyond agriculture, including infrastructure analysis, insurance, and climate-related decision support. Degas combines its AI capabilities with field operations to deliver data-driven services that support smallholder farmers and other organisations across Africa.

Objective

  • Analyse satellite imagery using AI for geospatial insights.
  • Support agricultural monitoring and farmland management.
  • Improve climate resilience through data-driven analysis.
  • Enable AI-assisted decision-making in agriculture, infrastructure, and insurance.
  • Strengthen farmer financing through geospatial data and analytics.

Risk Classification

The Degas Geospatial AI Platform has been assigned a Medium Risk classification because it provides AI-generated geospatial analysis that may influence agricultural, financial, environmental, and infrastructure-related decisions. Inaccurate mapping, crop monitoring, or land analysis could affect financing decisions, farm management, insurance assessments, or resource allocation. The platform primarily serves as a decision-support tool rather than an autonomous decision-making system. Key considerations include the accuracy of satellite-derived insights, transparency of AI models, cybersecurity, data governance, and appropriate human oversight when AI outputs inform operational or financial decisions.

Risk tier: Medium

  • Visibility

    Public

  • Linked Institution

    government of Ghana and Degas Ltd

  • Organization type

    Private Sector

  • Sector

    Agricultural Technology (AgriTech)

  • Specific sectors

    Agriculture

  • Risk Tier

    Medium

  • SDG goal

    2, 9 and 13

  • Deployment status

    in use

  • Coverage area

    Ghana, with operations and AI applications extending across Africa and selected regions in Asia.

  • Uses personal data?

    Yes