Hyggligt receives funding from Visual Sweden for AI-driven image analysis

Hyggligt has received funding from the innovation initiative Visual Sweden, supported by Vinnova, for a project together with Linköping University and NorthBit AB on AI-driven image analysis for continuous-cover forestry (hyggesfritt skogsbruk). The project starts in spring 2024 and aims to contribute to a technical solution that enables a better balance between biodiversity and economics in continuous-cover forestry.

The project includes developing an AI model that uses synthetic training data to identify tree characteristics—for example species, spruce bark beetle (granbarkborre) infestations, dead wood, and more. During the project, photorealistic forests will be created in different configurations to train the model on as much variation as possible. The information will then be used by an optimization model to identify the most beneficial trees to harvest, both in terms of economic return and biodiversity preservation.

Jakob Pålsson, CTO and co‑founder of Hyggligt and the project lead, emphasizes the importance: “The learnings and results from this project will be an important piece in making continuous-cover forestry (hyggesfritt skogsbruk) more economically viable—and in grounding harvesting decisions in a biodiversity perspective. In the long run, the technology could change how sustainable forestry is practiced in Sweden.”

Visual Sweden is an initiative based in Östergötland, focused on promoting innovation and growth in visualization and image analysis.

Subscribe to our newsletter

Email address

I have read and accept the privacy policy.

Subscribe