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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| Auteurs principaux: | , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2024-12-01
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| Collection: | Agronomy |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2073-4395/14/12/3062 |
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