HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network

HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network

Weeds significantly impact crop yields and quality, necessitating strict control. Effective weed identification is essential to precision weeding in the field. Existing detection methods struggle with the inconsistent size scales of weed targets and the issue of small targets, making it difficult to...

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Bibliographic Details
Main Authors: Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
weed identification
YOLOV5
HAD-YOLO
deep learning
small target detection
multi-scale feature fusion
Online Access:https://www.mdpi.com/2073-4395/15/1/57
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