SwedenAgriculture and food production2023 – ongoingStora Enso
Deep-learning satellite monitoring for bark-beetle infestations
Stora Enso used satellite AI to monitor 200,000 hectares for bark-beetle attacks
Problem
Stora Enso needed to find spruce bark-beetle infestations quickly across extensive Swedish forests. Reviewing satellite imagery manually required substantial effort.
Approach
Stora Enso worked with Sogeti to implement Geo Satellite Intelligence. Its deep-learning model reviewed satellite images as they became available and identified affected trees. Sogeti said it could detect attacks in groups of 4 to 5 trees.
Results
Takeaway
Detection depended on satellite images becoming available. The reported coverage did not establish how much timber loss was prevented.
Categories
- Size
- Large enterprise
- Industry
- Agriculture and food production
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Sogeti described deployed deep-learning monitoring across 200,000 hectares of Swedish forest. It reported detection of infestations affecting groups of 4 to 5 trees.
Full details are in the original sources.
