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Tomato Maturity Recognition Model Based on Improved YOLOv5 in Greenhouse

Due to the dense distribution of tomato fruit with similar morphologies and colors, it is difficult to recognize the maturity stages when the tomato fruit is harvested. In this study, a tomato maturity recognition model, YOLOv5s-tomato, is proposed based on improved YOLOv5 to recognize the four type...

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Principais autores: Renzhi Li, Zijing Ji, Shikang Hu, Xiaodong Huang, Jiali Yang, Wenfeng Li
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-02-01
Serier:Agronomy
Fag:
tomato
maturity recognition
deep learning
improved YOLOv5
loss function
Online adgang:https://www.mdpi.com/2073-4395/13/2/603
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