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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A lightweight improved YOLOv8 method for intelligent detection of pine wilt disease. [PDF]
Sci RepChen G +11 more
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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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Induced resistance in pine wilt disease.
Journal of the agricultural chemical society of Japan, 1990 openaire +2 more sources
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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MSCF-LUNet: a lightweight three-stage pine wilt disease segmentation model with multi-scale context fusion mechanism. [PDF]
Front Plant SciZhou D +10 more
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LW-PWDNet: a lightweight and cross-terrain adaptive framework for early pine wilt disease detection. [PDF]
Front Plant SciHu Y, Wang F.
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The Threshold and Lag Effects of Temperature on Pine Wilt Disease Show Significant Spatial Heterogeneity. [PDF]
InsectsZhang R +6 more
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