Pine wilt disease (PWD) is one of the most concerning diseases in forestry and poses a
considerable threat to forests. Since the deep learning approach can interpret the raw …

Pine wilt disease (PWD) is a serious threat to pine forests. Combining unmanned aerial
vehicle (UAV) images and deep learning (DL) techniques to identify infected pines is the …

Pine wilt disease (PWD) is a global devastating threat to forest ecosystems. Therefore, a
feasible and effective approach to precisely monitor PWD infection is indispensable …

Pine wilt is a devastating disease that typically kills affected pine trees within a few months.
In this paper, we confront the problem of detecting pine wilt disease. In the image samples …

Pine wilt disease (PWD) can cause destructive death in many species of pine trees within a
short period. The recognition of infected pine trees in unmanned aerial vehicle (UAV) forest …

The purpose of this study was to enhance the detection accuracy for pine-wilt-diseased trees
(PWDT) using time series UAV imagery (TSUI) and deep learning semantic segmentation …

As one of the most devastating disasters to pine forests, pine wilt disease (PWD) has caused
tremendous ecological and economic losses in China. An effective way to prevent large …

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) …

Pine wilt disease (PWD) is a significantly destructive forest disease. To control the spread of
PWD, an urgent need exists for a real-time and efficient method to detect infected trees …

Pine wilt disease (PWD) is responsible for significant damage to East Asia's pine forests,
including those in Korea, Japan, and China. Preventing the spread of wilt disease requires …