A new maturity recognition algorithm for Xinhui citrus based on improved YOLOv8

A new maturity recognition algorithm for Xinhui citrus based on improved YOLOv8

Current object detection algorithms lack accuracy in detecting citrus maturity color, and feature extraction needs improvement. In automated harvesting, accurate maturity detection reduces waste caused by incorrect evaluations. To address this issue, this study proposes an improved YOLOv8-based meth...

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Bibliographic Details
Main Authors: Fuqin Deng, Zhenghong He, Lanhui Fu, Jianle Chen, Nannan Li, Weibiao Chen, Jialong Luo, Weilai Qiao, Jianfeng Hou, Yongkang Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Plant Science
Subjects:
object detection
maturity detection
XinHui citrus
YOLOv8
CARAFE lightweight operator
multi-dimensional collaborative attention mechanism (MCA)
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1472230/full
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https://www.frontiersin.org/articles/10.3389/fpls.2025.1472230/full

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