Yolov5s-CA: An Improved Yolov5 Based on the Attention Mechanism for Mummy Berry Disease Detection

Yolov5s-CA: An Improved Yolov5 Based on the Attention Mechanism for Mummy Berry Disease Detection

Early detection and accurately rating the level of plant diseases plays an important role in protecting crop quality and yield. The traditional method of mummy berry disease (causal agent: <i>Monilinia vaccinii-corymbosi</i>) identification is mainly based on field surveys by crop protec...

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Bibliographic Details
Main Authors: Efrem Yohannes Obsie, Hongchun Qu, Yong-Jiang Zhang, Seanna Annis, Francis Drummond
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Agriculture
Subjects:
wild blueberry
<i>Vaccinium angustifolium</i>
<i>Monilinia vaccinii-corymbosi</i>
deep learning
coordinated attention
synthetic data
Online Access:https://www.mdpi.com/2077-0472/13/1/78

Internet

https://www.mdpi.com/2077-0472/13/1/78

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