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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Bibliographic Details
Published in:Applied Sciences
Main Authors: Qiang Hu, Yunhua Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Subjects:
YOLOv8
grape leaf disease
lightweight
GhostNet
RepConv
CBAM attention mechanism
Online Access:https://www.mdpi.com/2076-3417/15/7/3910

Internet

https://www.mdpi.com/2076-3417/15/7/3910

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