SOURCE-LINKED INTELLIGENCE
Effective FOrest Research Electronic System Terrain Exploration Rover
ry. Such a large-scale project requires the selection and cooperation of an interdisciplinary team, which will include foresters, fauna and flora specialists, archaeologists, as well as engineers and machine learning analysts. The result of their work should be a rover with research tools, capable of operating continuously, regardless of terrain diversity and weather conditions, providing data and cartographic materials constituting documentation presenting the diversity of the forest environment. By detailed documenting plant and animal species, and through appropriate algorithms, also natural habitats, the project should also meet the challenges posed by of the European Union's tasks, which is the Natura 2000 network. Identification of archaeological relics through non-invasive methods will fulfil Valetta Convention (1992) recommendations and open a new area for archaeological/historical investigations. automatic data collecting, automatic cropmarks identification, close-range photogrammetry, laser scanning and remote sensing, topoclimatology, microclimatology, autonomous vehicles
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1513400
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.