YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8
#4PRI RANKED
Most Cited Paper
in Forest Insect Ecology and Management
18 Months Post-Publication
Class of 2026
“YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8”
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Topics
pine wilt disease · YOLOv8-RD · ResFuzzy · ResFuzzy · fuzzy deep neural networks · residual learning · remote sensing image detection · detail processing module · dynamic upsampling operator · noise robustness · image noise filtering · low-frequency detail features · PWD pathogen detection · forest health monitoring · object detection under interference · cloud cover interference · illumination variation · feature map upsampling · background feature refinement
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Forest Insect Ecology and Management Papers, Class of 2026. https://pri.pepkio.com/top-papers/forest-insect-ecology-and-management/2026. Accessed 2026-07-31. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459