AI-based resource availability assessment model for the growth of raw materials for fungal composites (A09)

• Subject Area: Applied Mechanics, Statics and Dynamics ; Microbial Ecology and Applied Microbiology
• Term: since 2026
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 548244816

An AI-based climate model will be developed to assess the availability of resources for the production of fungal composites. The growth of agricultural and forestry resources for composites is highly dependent on climatological changes in the water cycle and temperature. The occurrence of extreme events (long droughts, extreme precipitation) plays a crucial role. An AI model will be implemented that combines trends in weather extremes and hydrological data with climate-induced land use changes to determine the most suitable regions for growing raw materials for fungal composites.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1743: MY-CO BUILD: Biomanufacturing, characterisation and sustainability assessment of fungal-based building materials
• Applicant Institution: Technische Universität Berlin
• Project Head: Professorin Dr. Annette Rudolph