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GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8

In view of the issues of high complexity, significant computational resource consumption, and slow inference speed in the detection algorithm for grape leaf diseases, this paper proposes GCS-YOLO, a lightweight detection algorithm based on an improved YOLOv8. The lightweight feature extraction modul...

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Autori principali: Qiang Hu, Yunhua Zhang
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-04-01
Serie:Applied Sciences
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Accesso online:https://www.mdpi.com/2076-3417/15/7/3910
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