BigData@Geo 2.0 – From Data to Action mittels KI und Web-Lösungen im Nexus Klimawandel

BigData@Geo 2.0 aims to increase the resilience of small and medium enterprises (SMEs) in the northern Bavarian agricultural sector through detailed adaptation measures in response to regional climate change, tailored to geographical and operational conditions,.

In our previous project BigData@Geo, we successfully developed and provided an interactive web-based user portal using innovative modeling and AI techniques. This portal makes climate change-related indicators for Northern Bavaria's agriculture sector available and is now accessed by 2000 to 3000 users every month.

In our follow-up project BigData@Geo 2.0, this web portal will be further expanded with the new goal of serving as a concrete support system for operational decision-making in agriculture and forestry, including specialty crops such as wine, vegetables, and fruit cultivation, as well as sustainable pasture farming.

For this purpose, we aim to develop novel modules to translate changing climate indicators such as heat stress, drought stress, UV exposure, late frost, and heavy rainfall events into user-friendly operational metrics such as plant health, stress factors for crops, risk exposure, crop yields, and income. Our approach is based on an innovative AI- and ML-supported combination of Big Data applications from the fields of high-resolution climate modeling, drone- and satellite-based Earth observation, as well as operational data from SMEs, statistical datasets from Bavarian government agencies, and web-based information, especially from social networks.

This project is supported by the European Regional Development Fund (ERDF).