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SMART SOIL – AI-Driven Soil Mapping for Robust Infrastructre and Sustainable Mobility

Reference number
Coordinator Sveriges Lantbruksuniversitet - Sveriges lantbruksuniversitet SLU Inst f skogens ekologi & skötsel
Funding from Vinnova SEK 5 939 841
Project duration July 2026 - June 2029
Status Ongoing
Venture Impact Innovation: Designing the places of the future for attractive, accessible and sustainable communities
Call Impact innovation: transition lab for the living environments of the future

Purpose and goal

The aim is to strengthen resilient infrastructure and sustainable mobility by testing and scaling AI-based soil maps to reduce soil damage and erosion. Extreme rainfall events, which can wash away infrastructure and cause major disruptions, have exposed a shortcoming in current planning: insufficient knowledge of soil properties. The goal is to create improved soil maps for sustainable societal planning.

Expected effects and result

We develop new soil maps for three selected test counties. The results are delivered as open source code, GIS maps and a user manual. The test phase provides important feedback and creates the prerequisites for a long-term plan for further funding for national upscaling of the new soil maps. The maps are key to a more robust, integrated system for sustainable land use, infrastructure planning and mobility.

Planned approach and implementation

The project builds on an ongoing collaboration between the Swedish University of Agricultural Sciences (SLU) and the Geological Survey of Sweden (SGU), developing AI-based methods for more accurate soil maps. In this project, we test and upscale the maps to three counties, selected to represent different landscape types. The usability of the maps will be evaluated in real workflows by the stakeholders; the Swedish Transport Administration, the Swedish Forest Agency, Sveaskog and Komatsu Forest.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 23 June 2026

Reference number 2026-00949