Year: 2025
Type: conference-paper
Abstract: In the study, analyzed the effectiveness of unmanned aerial vehicles (UAVs) for forest monitoring. Investigated various image processing algorithms aimed at identifying tree species. Revealed the potential of machine learning techniques in automating data analysis. Established a methodology that combines computer vision with UAV imagery for enhanced accuracy. Proposed new approaches for assessing the number of cones on trees, which can significantly improve forest resource management practices.
Source: E3S Web of Conferences
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
OpenAlex ID: W4409273847