UDC 591.5
Zoological activity in the forest fund, such as bark beetles and animal damage, poses a significant threat to forest health and productivity. Traditional monitoring methods are often time-consuming and limited in scope. This paper presents a method for automated detection and classification of objects of zoological activity using spatiotemporal data obtained using an unmanned aerial vehicle (UAV) and intelligent analysis.
UAVs, zoological activity, forest fund, data mining
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