Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

Coastal environments are highly threatened by invasive alien plants (IAP), and Remote
Sensing (RS) may offer a sound support for IAP detection and mapping. There is still a need …

Remote sensing scene understanding is crucial for extracting valuable information from high-
resolution images, including object detection and classification. Traditional object detection …

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 …

Semantic segmentation of very-high-resolution (VHR) remote sensing images plays an
important role in the intelligent interpretation of remote sensing since it predicts pixel-level …

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 …

The health of the trees in the forest affects the ecological environment, so timely detection of
Standing Dead Trees (SDTs) plays an important role in forest management. However, due to …

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 …

This study demonstrates a framework for using high-resolution satellite imagery to
automatically map and monitor outbreaks of red needle cast (Phytophthora pluvialis) in …

Deep learning is the subject of increasing research for fruit tree detection. Previously
developed deep-learning-based models are either too large to perform real-time tasks or too …