Imagine using a high-tech map to find the best berry patches in a massive forest without wandering aimlessly. This system uses drones to scan the woods and AI to tell pickers exactly where the ripe fruit is. It also keeps an eye on the workers to make sure they are safe and supported while they work.
Commercial wild berry harvesting is inefficient because pickers struggle to locate ripe patches in vast forests. Additionally, the reliance on foreign labor with limited local knowledge creates safety risks and low yield rates.
Autonomous drones with sensors for 3D forest modeling and AI algorithms to map berry locations and types. A navigation and monitoring service for worker safety and route optimization.
If you are a collection cooperative dealing with the fact that only 5-10% of annual wild berries are harvested — this project developed AI mapping and drone sensing that helps workers locate berries more efficiently to increase total yield.
If you are a tech provider dealing with the need for automated crop monitoring — this project developed AI algorithms and 3D forest modeling that can be adapted for industrialized cultivation to improve harvesting precision.
If you are a labor manager dealing with foreign workers who have limited knowledge of forest terrain — this project developed navigation services and automatic monitoring to improve worker safety and confidence.
Based on available project data, specific pricing or cost structures for the developed technology are not provided.
The project aims to open business opportunities for EU companies to adapt these solutions for industrialized cultivation, suggesting a path toward industrial scale.
Based on available project data, there is no specific information regarding the licensing terms or IP ownership of the AI algorithms.
The system provides navigation and locating services and physical support to workers to improve their working conditions.
The project period runs from 2022-09-01 to 2025-12-31, indicating the development and testing phase is active until late 2025.
The consortium is well-balanced for commercialization, featuring 10 partners across 7 countries. With a 40% industry ratio (4 companies, including 3 SMEs), there is a strong link between the research conducted by the 3 universities and 2 research centers and the practical needs of the market.
Contact Fondazione Bruno Kessler for technical inquiries regarding AI and robotics integration.
Contact SciTransfer to explore licensing opportunities for wild-harvesting AI.
