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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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Bibliografische gegevens
Hoofdauteurs: Renzhi Li, Zijing Ji, Shikang Hu, Xiaodong Huang, Jiali Yang, Wenfeng Li
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2023-02-01
Reeks:Agronomy
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Online toegang:https://www.mdpi.com/2073-4395/13/2/603
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