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Lightweight Improved YOLOv5s-CGhostnet for Detection of Strawberry Maturity Levels and Counting

A lightweight strawberry detection and localization algorithm plays a crucial role in enabling the harvesting robot to effectively harvest strawberries. The YOLO model has often been used in strawberry fruit detection for its high accuracy, speed, and robustness. However, some challenges exist, such...

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Principais autores: Niraj Tamrakar, Sijan Karki, Myeong Yong Kang, Nibas Chandra Deb, Elanchezhian Arulmozhi, Dae Yeong Kang, Junghoo Kook, Hyeon Tae Kim
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-04-01
coleção:AgriEngineering
Assuntos:
CBAM
ghost module
loss function
strawberry
YOLOv5
Acesso em linha:https://www.mdpi.com/2624-7402/6/2/55
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