Pine wood nematode (Bursaphelenchus xylophilus) is an invasive pathogen in South Korea,
where it has caused pine wilt disease (PWD) with extremely high mortality of native pine …

Pine wilt disease causes huge economic losses to pine wood forestry because of its
destructiveness and rapid spread. This paper proposes a detection and location method of …

Pine wood nematode disease has harmed forests in several countries, and can be reduced
by locating and clearing infested pine trees from forests. The target detection model of deep …

After an attack the by pine wood nematode, pine tree needles turn red. Using convolutional
neural networks (CNNs) based object detection methods, machines can detect red-attacked …

The accurate detection and classification of diseased pine trees with different levels of
severity is important in terms of monitoring the growth of these trees and for preventing and …

The early diagnosis of pine wilt disease (PWD) is crucial to its management. Substantial
effort has been made to develop an accurate early diagnosis method. However, none of the …

Pine wilt disease (PWD) has become increasingly serious recently and causes great
damage to the world's pine forest resources. The use of unmanned aerial vehicle (UAV) …

Objective: The recognition of forest images taken with the unmanned aerial vehicle (UAV) It
is an the important technology using the unmanned aerial vehicle (UAV) images for pest …

Deep learning has achieved certain results in the field of wood surface defect detection. To
address the problems of low accuracy of the detection results of surface defects on boards …

Pine wilt nematode disease is a devastating forest disease that spreads rapidly. Using drone
remote sensing to monitor pine wilt nematode trees promptly is an effective way to control …