Early detection of pine wilt disease tree candidates using time-series of spectral signatures
Pine wilt disease (PWD), caused by pine wood nematode (PWN), poses a tremendous threat to global pine forests because it can result in rapid and widespread infestations within months, leading to large-scale tree mortality. Therefore, the implementation of preventive measures relies on early detectio...
Main Authors: | Run Yu, Langning Huo, Huaguo Huang, Yuan Yuan, Bingtao Gao, Yujie Liu, Linfeng Yu, Haonan Li, Liyuan Yang, Lili Ren, Youqing Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-10-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.1000093/full |
Similar Items
-
Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using UAV-Based Hyperspectral Images
by: Run Yu, et al.
Published: (2021-10-01) -
Early detection of pine wilt disease in Pinus tabuliformis in North China using a field portable spectrometer and UAV-based hyperspectral imagery
by: Run Yu, et al.
Published: (2021-07-01) -
A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level
by: Run Yu, et al.
Published: (2021-09-01) -
Detection of pine wood nematode infestation using hyperspectral drone images
by: Run Yu, et al.
Published: (2024-05-01) -
Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques
by: Weibin Wu, et al.
Published: (2020-07-01)