Identification of Grape Diseases Based on Improved YOLOXS

Identification of Grape Diseases Based on Improved YOLOXS

Here we proposed a grape disease identification model based on improved YOLOXS (GFCD-YOLOXS) to achieve real-time detection of grape diseases in field conditions. We build a dataset of 11,056 grape disease images in 15 categories, based on 2566 original grape disease images provided by the State Key...

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Bibliographic Details
Main Authors: Chaoxue Wang, Yuanzhao Wang, Gang Ma, Genqing Bian, Chunsen Ma
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
grape disease
YOLOXS
FOCUS
Convolutional Block Attention Module
double residual edge
Online Access:https://www.mdpi.com/2076-3417/13/10/5978

Internet

https://www.mdpi.com/2076-3417/13/10/5978

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