YOLOv8-ACCW: Lightweight Grape Leaf Disease Detection Method Based on Improved YOLOv8

Grape black root, black measles, and blight are three common grape leaf diseases that significantly impact grape yield. However, current research lacks real-time detection methods for grape leaf diseases, which cannot ensure the healthy growth of grape plants. To improve the accuracy of grape leaf d...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.123595-123608
Hauptverfasser:	Chen, Zuxing, Feng, Junjie, Zhu, Kun, Yang, Zhenyan, Wang, Yanhong, Ren, Mingyue
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Computational modeling Crops Deep learning Feature extraction grape leaf diseases Image recognition lightweight Object detection Plant diseases Plants (biology) Smart agriculture YOLO YOLOv8
Online-Zugang:	Volltext
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