Soybean Weed Detection Based on RT-DETR with Enhanced Multiscale Channel Features

Soybean Weed Detection Based on RT-DETR with Enhanced Multiscale Channel Features

To solve the missed and wrong detection problems of the object detection model in identifying soybean companion weeds, this paper proposes an enhanced multi-scale channel feature model based on RT-DETR (EMCF-RTDETR). First, we designed a lightweight hybrid-channel feature extraction backbone network...

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Bibliographic Details
Main Authors: Hua Yang, Yanjie Lyu, Yunpeng Jiang, Feng Jiang, Taiyong Deng, Lihao Yu, Yuanhao Qiu, Hao Xue, Junying Guo, Zhaoqi Meng
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
RT-DETR
weed detection
FasterNet
EA attention
feature fusion
Online Access:https://www.mdpi.com/2076-3417/15/9/4812
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