Results 191 to 200 of about 34,555 (216)

Biochemical Responses in Pine Trees Affected by Pine Wilt Disease

2008
A series of pathological changes occur in pine trees affected by the pine wood nematode (PWN, Bursaphelenchus xylophilus) through the interaction between the nematode and pines, that is, the action of the PWN and host responses. Included in such changes are: the action of the pathogen, host responses which induce and accelerate disease development ...
openaire   +1 more source

Explainable ensemble learning for predicting pine wilt disease spread

Journal of Environmental Management
The rapid global spread of Pine Wilt Disease (PWD) has resulted in considerable ecological and economic losses, underscoring the necessity for precise forecasts of its future dissemination as a pivotal element in the control of the disease. In contrast to traditional semi-empirical models, which are unable to be applied to the increasing number of ...
Hongwei, Zhou, Meng, Xie, Peng, Zhao, Yifan, Chen, Siyan, Zhang, Jiayin, Song   +5 more
openaire   +2 more sources

A multi-point aggregation trend of the outbreak of pine wilt disease in China over the past 20 years

Forest Ecology and Management, 2022
Zhuoqing Hao, Xiaodong Li
exaly  

Research Progress on Biocontrol of Pine Wilt Disease by Microorganisms

Forests, 2022
Guiming Dou, Dong-Hui Yan
exaly  

Integrated management of pine wilt disease in Troia

2019
O coberto vegetal da península de Troia é dominado pelo pinheiro bravo, Pinus pinaster, que, desde 1999, tem sofrido o impacte da doença da murchidão do pinheiro causada pelo nemátode da madeira do pinheiro Bursaphelenchus xylophilus. O nemátode é transportado e disperso pelo inseto vetor Monochamus galloprovincialis.
Naves, Pedro, Bonifácio, Luís, Inácio, Maria Lurdes, Sousa, Edmundo   +3 more
openaire   +1 more source

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

Forest Ecology and Management, 2021
Youqing Luo, Lili Ren
exaly  

A Deep Learning-Based Generalized System for Detecting Pine Wilt Disease Using RGB-Based UAV Images

Remote Sensing, 2022
Jie You, Ruirui Zhang, Joonwhoan Lee
exaly  

Data Augmentation Method on Pine Wilt Disease Recognition

2022
Weibin Li, Bingzhen An, Yuhui Kong
openaire   +1 more source

The interaction of environmental factors increases the risk of spatiotemporal transmission of pine wilt disease

Ecological Indicators, 2021
Xiao Lu
exaly  

Recognition of Pine Wood Affected by Pine Wilt Disease Based on YOLOv5

2022 China Automation Congress (CAC), 2022
Hua Gong, Yuchuan Ding, Debin Li, Weitao Wang, Zhipeng Li   +4 more
openaire   +1 more source