Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms

Research article (Forests, 2023) · cited 16× · AI/ML
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Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms

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Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-pine-wilt-disease-infected-wood-using-uav-rgb-imagery-and-improved-yolov5-models-integrated-with-atten
MLA “Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-pine-wilt-disease-infected-wood-using-uav-rgb-imagery-and-improved-yolov5-models-integrated-with-atten.
BibTeX @misc{4ortxyz_identification-of-pine-wilt-disease-infected-wood-using-uav-rgb-imagery-and-improved-yolov5-models-integrated-with-atten_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-pine-wilt-disease-infected-wood-using-uav-rgb-imagery-and-improved-yolov5-models-integrated-with-atten}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms — https://4ort.xyz/entity/identification-of-pine-wilt-disease-infected-wood-using-uav-rgb-imagery-and-improved-yolov5-models-integrated-with-atten (retrieved 2026-05-24)

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