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USE CASE #6

Using Data Spaces for Risk Management in Agriculture

This Use Case addresses the rising risks from climate change and extreme weather by integrating data from public cadastral systems, private initiatives, statistical offices, and meteo sources. It focuses on cross-border data sharing for insurance and risk management.

Objectives

Stabilize farmers’ income through tailored insurance and compensation mechanisms.
Build sustainable, resilient agrifood systems while preserving environmental and social value.
Develop new tools for B2B, B2G, and B2C data-driven risk management.

Technology in Action

Integration of insurance, meteorological, and cadastral databases through CEADS connectors.
Federation with AgrifoodTEF, CDAF DSI, DjustConnect, AgrospAI.
AI-based tools for climate-risk prediction and insurance calibration.

Impacts

Economic

Enables fairer insurance premiums; stabilises farm incomes.

Technological

Combines public/private data sources for risk modelling.

Environmental

Promotes adaptive farming and resource resilience.

Societal

Strengthens trust and participation in climate-insurance mechanisms.