The project is co-financed by the European Union from the European Regional Development Fund under Measure 1.3.1 Support for R&D projects in the pre-seed phase by proof-of-concept funds – BRIdge Alfa, within the project “Epic Alfa – advanced technology fund in the PoP and PoC phase” carried out by Epic Alfa sp. z o.o.
Project value: PLN 1,087,500.00 | European Funds contribution: PLN 870,000.00.
The main aim of the project is to develop a fully functional, innovative system for non-invasive collection of forest data using aerial photogrammetry and to develop an artificial intelligence algorithm that will automatically classify trees according to their vegetation condition.
The research aim of the project is to gain comprehensive knowledge on linking the automatic classification of data acquired in multiple electromagnetic bands (RGB, NIR, Red Edge) with the actual vegetation and nutrition status of Scots pine stands – 75% of the species composition of Polish forests.
The project also includes optimising the processing of large .geotiff files, preparing a dataset for machine learning and using digital image processing techniques based on existing algorithms and filters.
In parallel with the forest research, development work will be carried out on the unmanned aircraft of the VTOL type and the mobile app “BZB Planner”.
The drone developed in the completed Fast Track project will be adapted to the needs of the current project and to changes in the Polish Civil Aviation Authority regulations on flying unmanned aircraft.