CLIMARISC - A Groundbreaking AI-Driven Platform for Managing Climate Risk in the Agro-Food Sector

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

Artificial Intelligence to Predict the Impact of Future Weather Conditions

Climate change is leading to altered and more extreme weather conditions over time, which can result in both acute and long-term disruptions to global supply chains. These challenges can have enormous economic consequences for all parts of the supply chain. Therefore, predictive tools and corresponding action plans are needed to strengthen the resilience and climate adaptation capabilities of the agro-food sector.

The CLIMARISC project is developing risk management tools to enable stakeholders across all levels of the agro-food sector to anticipate, manage, and adapt to climate risks that affect their operations and supply chains.

Specifically, the project will develop the following four elements:

• An innovative climate risk analysis software for supply chains that can predict and quantify physical and financial acute and chronic risks along agri-food supply chains. Specifically, the project will expand the current platform developed by Correntics.
• A hyper-local weather forecasting software to provide highly accurate weather observations and forecasts to support farm management and business stakeholders in agro-food companies. This builds on expertise, software, and hardware provided by Cordulus.
• Statistical models and a vulnerability database to quantify the impact of extreme weather events on crops, developed under the leadership of the Danish Technological Institute.
• A Large Language Model (LLM)-based risk mitigation and climate adaptation recommendation system that will deliver actionable risk mitigation and climate adaptation measures and recommendations for agro-food stakeholders.

Agronomy and Mathematical Modeling Work Together

The Danish Technological Institute brings its agronomic expertise and mathematical modeling capabilities to the CLIMARISC project. This expertise is used to develop advanced statistical models that quantify the impacts of extreme weather conditions on crops and crop quality. Insights from modern crop simulation models are integrated into the statistical models. These models are based on decades of research in plant biology, enabling them to predict crop yields based on the weather during the growing season, soil parameters, and much more.

Project partners

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