AI-powered foresight for climate-resilient agriculture
AgriProAct combines satelite data, soil sensors and weather forecasts to create digital twins, helping farmers and public authorities anticipate climate risks and optimise agricultural decisions.
Objectives
Driving data-driven, climate-resilient agriculture through intelligent decision support, resource optimisation, and sustainable practices.
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🌱 Improve Farm ResilienceEnable farmers to make timely, data-driven decisions and reduce crop losses from climate events
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đź’§ Optimise Resource UseReduce irrigation and fertiliser use through precision recommendations and improve water and energy efficiency
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đź“Š Support Policy & PlanningProvide authorities with forward-looking risk insights and enable better subsidy planning and CAP reporting
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🤖 Advance AI in AgricultureDeploy parcel-level AI forecasting models and continuously improve accuracy through real-time learning
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🌍 Environmental ImpactReduce greenhouse gas emissions (N₂O & CH₄) and support sustainable agricultural practices
Pilot Regions & Use Cases
The system is validated across three representative agricultural systems in Cyprus. These pilots demonstrate scalability and ensure the solution works across different crops, climates, and farming practices.
Consortium
AgriProAct brings together research institutions, technology providers, public authorities and agricultural stakeholders to ensure both scientific excellence and real-world applicability.
