CLIMARISC - a groundbreaking AI-driven platform for managing climate risk in the agro-food sector

Danish Technological Institute is proud to be part of the innovative partnership with Correntics, Cordulus, and the Eclim group at the University of Zurich, which has secured a grant of EUR 1.5 million from the Eurostars program for the project CLIMARISC. The project aims to develop an AI-driven platform for managing climate risk in the agro-food sector, offering innovative tools to promote resilience and support growth and sustainability within future climate scenarios.

Artificial intelligence is to predict the impact of future weather conditions

Climate change leads to altered and more extreme weather conditions over time, which can result in acute and prolonged disruptions in global supply chains. These challenges can have enormous economic consequences for all levels of the supply chain, hence the need for predictive tools and corresponding action plans to enhance the resilience and climate adaptation capacity of the agro-food sector.

In the CLIMARISC project, tools for risk management are being developed to enable stakeholders at all levels of the agro-food sector to anticipate, handle, and adapt to climate risks affecting their operations and supply chains.

Specifically, the following four elements are being developed:

• An innovative climate-risk analytics software for supply chains, to predict and quantify physical and cinancial acute and chronic risks along agri-food supply chains. In particular, the project will extend the Correntics platform. 
• A hyperlocal weather forecast software, to provide highly accurate weather observations and forecasts to support farm management and corporate stakeholders in agri-food businesses.
• Statistical models and a vulnerability database, to quantify the impact of weather extremes on crops. 
• A Large Language Model (LLM)-based risk mitigation and climate adaption recommendation system, to deliver actionable risk mitigation and climate adaptation measures and recommendations. 

Agronomi og matematisk modellering spiller sammen

The Technical Institute brings their agronomic experience and expertise in mathematical modeling to support the CLIMARISC project. This is utilized to develop advanced statistical models that can quantify the impact of extreme weather conditions on crops and crop quality. Knowledge from modern crop simulation models is integrated into these models. These are models based on decades of research in plant biology and can therefore predict crop yields based on weather during the growing season, soil parameters, and much more.

Partnerne

• Correntics
• Cordulus
• The Eclim group at the University of Zürich 
• Danish Technological Institute