A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields

A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields

To address the issue of the computational intensity and deployment difficulties associated with weed detection models, a lightweight target detection model for weeds based on YOLOv8s in maize fields was proposed in this study. Firstly, a lightweight network, designated as Dualconv High Performance G...

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Bibliographic Details
Main Authors: Jinyong Huang, Xu Xia, Zhihua Diao, Xingyi Li, Suna Zhao, Jingcheng Zhang, Baohua Zhang, Guoqiang Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
weed detection
YOLOv8s
attention mechanism
lightweight model
target detection
Online Access:https://www.mdpi.com/2073-4395/14/12/3062
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