A Detection Method of Pine Wilt Disease Based on Improved YOLOv11 With UAV Remote Sensing Images [PDF]
Ecology and EvolutionPine wilt disease (PWD), also known as pine wilt nematode disease, is a severe forest disease caused by the pine wood nematode (Bursaphelenchus xylophilus), which spreads rapidly and causes severe ecological damage in China.
Hua Shi +6 more
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Hidden Threats: The Unnoticed Epidemic System of Pine Wilt Disease Driven by Sexually Mature Monochamus Beetles and Asymptomatic Trees [PDF]
BiologyPine wilt disease, caused by the nematode Bursaphelenchus xylophilus, poses a significant threat to pine forests worldwide. Understanding the dynamics of its spread is crucial for effective disease management.
Kazuyoshi Futai, Hideaki Ishiguro
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Large field-of-view pine wilt disease tree detection based on improved YOLO v4 model with UAV images [PDF]
Frontiers in Plant ScienceIntroductionPine wilt disease spreads rapidly, leading to the death of a large number of pine trees. Exploring the corresponding prevention and control measures for different stages of pine wilt disease is of great significance for its prevention and ...
Zhenbang Zhang +9 more
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Detection Methods for Pine Wilt Disease: A Comprehensive Review. [PDF]
Plants (Basel)Pine wilt disease (PWD), caused by the nematode Bursaphelenchus xylophilus, is a highly destructive forest disease that necessitates rapid and precise identification for effective management and control. This study evaluates various detection methods for PWD, including morphological diagnosis, molecular techniques, and remote sensing. While traditional
Tahir S, Hassan SS, Yang L, Ma M, Li C.
europepmc +4 more sources
AgriEngineering, 2020 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 pine wood nematode disease at a large scale adopting UAV (Unmanned Aerial Vehicle)
Xiaoling Deng +3 more
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Insights into the Role of Fungi in Pine Wilt Disease. [PDF]
J Fungi (Basel), 2021 Pine wilt disease (PWD) is a complex disease that severely affects the biodiversity and economy of Eurasian coniferous forests. Three factors are described as the main elements of the disease: the pinewood nematode (PWN) Bursaphelenchus xylophilus, the insect-vector Monochamus spp., and the host tree, mainly Pinus spp.
Vicente CSL +4 more
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Antioxidant processes involving epicatechin decreased symptoms of pine wilt disease. [PDF]
Front Plant Sci, 2022 Since the pine wood nematode (PWN, Bursaphelenchus xylophilus) invasion of Northeast China, both symptomatic and asymptomatic PWN carriers have been found. Asymptomatic PWN carriers, which are more dangerous than symptomatic carriers, constitute a source of infection in the following spring. The simultaneous presence of symptomatic and asymptomatic PWN
Zhang R, Wang J, Xia R, Li D, Wang F.
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Mathematical modeling of pine wilt disease with Caputo fractional operator
Chaos, Solitons & Fractals, 2021 Abstract In this work, we investigate the transmission dynamics of pine wilt disease infection and developed a new model utilizing Caputo fractional-order derivative. Moreover, with the use of fixed point theorem, the existence and uniqueness of the pine wilt disease model are obtained under Caputo operator. Using forward normalized sensitivity index,
Yusuf, Abdullahi +4 more
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Microhabitat Governs the Microbiota of the Pinewood Nematode and Its Vector Beetle: Implication for the Prevalence of Pine Wilt Disease [PDF]
Microbiology Spectrum, 2022 Our understanding of environmental acquisition of microbes and migration-related alteration of microbiota across habitats has rapidly increased. However, in complex life cycles, such as for many parasites, exactly how these microbes are transmitted ...
Haokai Tian +3 more
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A Deep Learning-Based Generalized System for Detecting Pine Wilt Disease Using RGB-Based UAV Images
Remote Sensing, 2021 Pine wilt is a devastating disease that typically kills affected pine trees within a few months. In this paper, we confront the problem of detecting pine wilt disease.
Jie You, Ruirui Zhang, Joonwhoan Lee
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