MSDF-Net: a cross-version lightweight detection framework based on deformable convolution and high-resolution feature enhancement for pine wilt disease. [PDF]
Front Plant SciXiao X, Lin Y, Wang S, Lin H, Wang F.
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Exploring the Close-Range Detection of UAV-Based Images on Pine Wilt Disease by an Improved Deep Learning Method. [PDF]
Plant Phenomics, 2023 Ye X, Pan J, Liu G, Shao F.
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A lightweight improved YOLOv8 method for intelligent detection of pine wilt disease. [PDF]
Sci RepChen G +11 more
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Predicting the Potential Distribution of Pine Wilt Disease in China under Climate Change. [PDF]
Insects, 2022 Ouyang X, Chen A, Li Y, Han X, Lin H.
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Residual Dynamics of Fluopyram and Its Compound Formulations in Pinus massoniana and Their Efficacy in Preventing Pine Wilt Disease. [PDF]
Plants (Basel)Zhang W +7 more
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Antioxidant processes involving epicatechin decreased symptoms of pine wilt disease. [PDF]
Front Plant Sci, 2022 Zhang R, Wang J, Xia R, Li D, Wang F.
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Editorial: Global occurrence of pine wilt disease: Biological interactions and integrated management. [PDF]
Front Plant Sci, 2022 Espada M +4 more
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Investigation of Pine Wilt Disease in Chongqing: From Field Occurrence and Genetic Diversity to Endophytic Microbial Composition and Functional Analysis. [PDF]
Plants (Basel)Yang H +9 more
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A Three-Tier In Vitro Strategy for Accelerated Pine Breeding and Resistance Research Against Pine Wilt Disease. [PDF]
Plants (Basel)Zhu ZH +5 more
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LE-PWDNet: a lightweight and enhanced detection framework based on DEIM for early-stage pine wilt disease. [PDF]
Front Plant SciShen Y, Wang F, Qian J, Lin H.
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