FinlandAgriculture and food production2024 – ongoingStora Enso
Azure AI forest digital twins for management decisions
Stora Enso used AI forest models to support decisions without site inspections
Problem
Stora Enso needed better forest data to support management and purchasing decisions. Manual valuations required staff to travel to forest sites.
Approach
Stora Enso began collaborating with Microsoft in summer 2024 and built an Azure data platform. It combined remote sensing above the canopy with ground-level machine sensors and AI. Digital twins helped staff model forests and make decisions from the office.
Results
No published figures
Takeaway
Combining measurements from different heights supported remote forest assessment. Stora Enso did not quantify avoided visits or time savings.
Categories
- Size
- Large enterprise
- Industry
- Agriculture and food production
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
Microsoft described Stora Enso's Azure platform and its use of AI to combine remote sensing with ground-level measurements. Forest digital twins supported faster decisions without sending teams to inspect each site. It provided no quantified productivity result.
Full details are in the original sources.
