Leaf-cutting ants are the main group of insect pests in Brazilian forest plantations, and their
nests can be visually identified in remotely sensed images. This study compares two distinct …

The monitoring of trees is crucial for the management of large areas of forest cultivations, but
this process may be costly. However, remotely sensed data offers a solution to automate this …

In recent years, deep learning-based approaches have proliferated across a variety of
ecological studies. Inspired by deep learning's emerging prominence as the preferred tool …

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) …

Our research focuses on addressing the challenge of crop diseases and pest infestations in
agriculture by utilizing UAV technology for improved crop monitoring through unmanned …

High‐resolution unoccupied aerial vehicle (UAVs) data have alleviated the mismatch
between the scale of ecological processes and the scale of remotely sensed data, while …

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 …

Infestations or parasitism by forestry pests can lead to adverse consequences for tree
growth, development, and overall tree quality, ultimately resulting in ecological degradation …

The automatic detection and counting of trees are crucial for yield estimations, agricultural
planning and forestry applications. Unmanned aerial vehicles (UAVs) and computer vision …

Context Sticky trap catches of agricultural pests can be employed for early hotspot detection,
identification, and estimation of pest presence in greenhouses or in the field. However …