Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …

Detecting disease-or insect-infested forests as early as possible is a classic application of
remote sensing. Under conditions of climate change and global warming, outbreaks of the …

Pine wilt disease (PWD) has caused huge economic and environmental losses since it
invaded China. Although early monitoring is an effective way to control this hazard, the …

Abstract Wheat (Triticum aestivum L.), as one of the three major food crops, predominantly
thrives in arid and semi-arid regions of the world, and it is particularly vulnerable to various …

Pine wilt disease (PWD) is a destructive disease of pine trees caused by the pine wood
nematode and early identification is crucial for disease control. Hyperspectral drone imagery …

Chinese fir is one of the most widely distributed and extensively planted timber species in
China. Therefore, monitoring pests and diseases in Chinese fir plantations is directly related …

Pine wilt disease (PWD) is greatly serious to Pinus, and there are still no effective
therapeutic measures at present. It is necessary to explore a method of early diagnosis of …

Wheat is a major grain crop cultivated worldwide, and its production is influenced by various
diseases and pests, leading to significant production losses. Timely disease detection in …

The early detection of forest pests and diseases is a primary focus of remote sensing
applications for forest health monitoring. Pine Wilt Disease (PWD), which causes significant …

An increase in the frequency and severity of forest insect pest and disease (FIPD) outbreaks
has drastically affected the health and functioning of many forest stands worldwide. This has …