Image
The project focused on developing intelligent, data-driven tools to support harvesting planning by combining artificial intelligence, satellite imagery, LiDAR and machine-generated forest data. The objective was to bring advanced geospatial intelligence into practical forestry operations and strengthen planning accuracy before harvesting begins.
Proven in real operational environments
The developed solutions were piloted and tested in operational forestry environments in Finland, France and Uruguay. The international pilots covered diverse forest conditions, terrain types and operational contexts, demonstrating the adaptability and scalability of the tools.
Three Ponsse customer companies participated in the pilot project in France. The datasets were delivered for testing both as file-based materials and through API integrations into Ponsse’s digital services Manager and Opti 5G.
The customer companies utilized the data for:
- Assessing harvesting site conditions (terrain difficulty, visibility, need for pre-clearing)
- Identifying wildfire and forest health risks
- Optimizing work planning and logistics
- Being able to see terrain elevation changes and moisture conditions already from the office enables optimal route planning for our customers in the forest. Having access to more detailed contour lines in the machine significantly improves operator route planning and enhances safety, Gilles Guegand, Sales, Ponsse France.
Field validation confirmed that intelligent map layers and integrated data insights can significantly enhance situational awareness and support better-informed planning decisions.
Collaboration continues
The project further strengthened collaboration between forestry machinery expertise and advanced geospatial analytics. While this development phase has concluded, the cooperation continues with the aim of expanding the use of data-driven planning tools in global forestry markets.
The results provide a strong foundation for future product development and new joint initiatives focused on sustainable and intelligent forestry.
The project explored possible ways to produce intelligent map layers to facilitate harvesting planning
As part of Business Finland's Veturi funding for forest machine manufacturer Ponsse, Sitowise is working with Ponsse to explore the potential of artificial intelligence for smarter planning and optimization of loggings.
More information
More information
