Imagine having a digital map and a smart app that tells you exactly where a piece of wood came from and how healthy the forest is. It's like a GPS and health tracker for trees, helping managers avoid illegal logging and plan their harvests better. This system uses AI and 3D visuals to make forest management as precise as a modern warehouse.
Mediterranean forest managers lack modern digital tools, leading to low competitiveness and difficulty in proving the legal origin of wood. This results in inefficient resource management and vulnerability to illegal wood trade.
A smart-app inventory system and a standard format for harmonising local forest data. They also developed AI-driven geospatial analysis and 3D visualisation tools for forest monitoring.
If you are a sawmill dealing with illegal wood exchange and certification gaps — this project developed wood traceability tools that track resources from the forest to the end-user. This ensures your supply chain is legal and sustainable.
If you are a forest manager dealing with outdated inventory methods — this project developed a smart-app inventory system that simplifies data collection. This allows for better planning of ecosystem services and wood production.
If you are a consultant dealing with complex ecological assessments — this project developed process-based modelling and 3D immersive visualisation. This provides a more accurate way to monitor forest landscapes and ecosystem health.
Based on available project data, specific pricing or licensing costs for the software are not mentioned.
The project targets the European Mediterranean region, covering over 25 million hectares of forests, indicating a design for large-scale regional application.
Based on available project data, the IP and licensing terms are not specified in the provided summary.
The project created a standard format to harmonise local forest attributes and a database of local forest inventory for seamless integration.
The project runs from 2023-06-01 to 2026-05-31, suggesting that tools are currently in development and testing phases.
The consortium is highly diverse with 21 partners across 11 countries, showing strong international cooperation. With an industry ratio of 24% (5 industry partners, including 5 SMEs), there is a solid link between academic research and commercial application, though the project remains heavily weighted toward research and university expertise.
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