YOLOv8 Model for Weed Detection in Wheat Fields Based on a Visual Converter and Multi-Scale Feature Fusion

Accurate weed detection is essential for the precise control of weeds in wheat fields, but weeds and wheat are sheltered from each other, and there is no clear size specification, making it difficult to accurately detect weeds in wheat. To achieve the precise identification of weeds, wheat weed data...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Yinzeng Liu, Fandi Zeng, Hongwei Diao, Junke Zhu, Dong Ji, Xijie Liao, Zhihuan Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	deep learning wheat weeds weed detection MobileViTv3 BiFPN
Online Access:	https://www.mdpi.com/1424-8220/24/13/4379