UNMANNED SYSTEMS TECHNOLOGY IN FIRE PREVENTION
Section: GENERAL SECTION
Authors:
1.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
Russian Federation
2.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
Type:
Сonference article
Published:
18.06.2025
Subject area:
614.841.48
Language:
Russian
Keywords:
forest fires, UAVs, fire monitoring, fire prevention
Abstract (English):
The article is devoted to the use of unmanned aerial vehicles (UAVs) for the identification of areas with increased fire risk, such as overgrown areas and areas with deadwood. Remote sensing, vegetation analysis and risk prediction technologies using artificial intelligence (AI) are discussed.
The article is devoted to the use of unmanned aerial vehicles (UAVs) for the identification of areas with increased fire risk, such as overgrown areas and areas with deadwood. Remote sensing, vegetation analysis and risk prediction technologies using artificial intelligence (AI) are discussed.
Keywords:
forest fires, UAVs, fire monitoring, fire prevention
forest fires, UAVs, fire monitoring, fire prevention
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