A lightweight segmentation model toward timely processing for identification of pine wood nematode affected trees with UAV

A lightweight segmentation model toward timely processing for identification of pine wood nematode affected trees with UAV

Abstract Pine wood nematode (PWN), a major international quarantined forest pest, has resulted in significant loss to the pine forest resources, posing a serious threat to global forest ecosystems. Quick and accurate identification of trees infected by PWN can lead to earlier intervention in their s...

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Bibliographic Details
Main Authors: Qiangjia Wu, Meixiang Chen, Hao Shi, Tongchuan Yi, Gang Xu, Weijia Wang, Ruirui Zhang
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Plant Methods
Subjects:
Pine wood nematode
Pine wilt disease
Semantic segmentation
Lightweight algorithm
UAV remote sensing
Online Access:https://doi.org/10.1186/s13007-025-01385-6
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https://doi.org/10.1186/s13007-025-01385-6

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