Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS

Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS

To achieve accurate detection of tomato fruit maturity and enable automated harvesting in natural environments, this paper presents a more lightweight and efficient maturity detection algorithm, YOLO-DGS, addressing the challenges of subtle maturity differences between regular and cherry tomatoes, a...

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Bibliographic Details
Main Authors: Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
tomato
ripeness detection
YOLO-DGS
C2f-GB
BiFPN
channel attention
Online Access:https://www.mdpi.com/1424-8220/25/9/2664
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