YOLOv8n-CA: Improved YOLOv8n Model for Tomato Fruit Recognition at Different Stages of Ripeness

YOLOv8n-CA: Improved YOLOv8n Model for Tomato Fruit Recognition at Different Stages of Ripeness

This study addresses the challenges of tomato maturity recognition in natural environments, such as occlusion caused by branches and leaves, and the difficulty in detecting stacked fruits. To overcome these issues, we propose a novel YOLOv8n-CA method for tomato maturity recognition, which defines f...

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Bibliographic Details
Main Authors: Xin Gao, Jieyuan Ding, Ruihong Zhang, Xiaobo Xi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
tomatoes
maturity detection
image recognition
YOLOv8
Online Access:https://www.mdpi.com/2073-4395/15/1/188
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