[HTML][HTML] Detection and location of dead trees with pine wilt disease based on deep learning and UAV remote sensing

X Deng, Z Tong, Y Lan, Z Huang - AgriEngineering, 2020 - mdpi.com
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 …

[HTML][HTML] Deep learning-based pine nematode trees' identification using multispectral and visible UAV imagery

B Qin, F Sun, W Shen, B Dong, S Ma, X Huo, P Lan - Drones, 2023 - mdpi.com
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) …

[HTML][HTML] Detection of pine wilt nematode from drone images using UAV

Z Sun, M Ibrayim, A Hamdulla - Sensors, 2022 - mdpi.com
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 …

[HTML][HTML] Identifying pine wood nematode disease using UAV images and deep learning algorithms

J Qin, B Wang, Y Wu, Q Lu, H Zhu - Remote Sensing, 2021 - mdpi.com
Pine nematode is a highly contagious disease that causes great damage to the world's pine
forest resources. Timely and accurate identification of pine nematode disease can help to …

[HTML][HTML] Detection of standing dead trees after pine wilt disease outbreak with airborne remote sensing imagery by multi-scale spatial attention deep learning and …

Z Han, W Hu, S Peng, H Lin, J Zhang, J Zhou, P Wang… - Remote Sensing, 2022 - mdpi.com
The continuous and extensive pinewood nematode disease has seriously threatened the
sustainable development of forestry in China. At present, many studies have used high …

[HTML][HTML] Early detection of pine wilt disease using deep learning algorithms and UAV-based multispectral imagery

R Yu, Y Luo, Q Zhou, X Zhang, D Wu, L Ren - Forest Ecology and …, 2021 - Elsevier
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 …

Deep learning-based dead pine tree detection from unmanned aerial vehicle images

H Tao, C Li, D Zhao, S Deng, H Hu, X Xu… - International Journal of …, 2020 - Taylor & Francis
Understanding the spatial distribution of dead pine trees (DPTs) in mountainous areas is
vital for diseased wood cleanup and the prediction of pine wilt disease. The study induced a …

Application of conventional UAV-based high-throughput object detection to the early diagnosis of pine wilt disease by deep learning

B Wu, A Liang, H Zhang, T Zhu, Z Zou, D Yang… - Forest Ecology and …, 2021 - Elsevier
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 …

Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images

G Hu, P Yao, M Wan, W Bao, W Zeng - Ecological Informatics, 2022 - Elsevier
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 …

Pine pest detection using remote sensing satellite images combined with a multi-scale attention-UNet model

W Ye, J Lao, Y Liu, CC Chang, Z Zhang, H Li… - Ecological Informatics, 2022 - Elsevier
Pest monitoring of forest areas is essential to pest control. The existing remote sensing
satellite image methods have been widely used in detecting pine wilt disease due to their …