YOLOv5s-CBAM-DMLHead: A lightweight identification algorithm for weedy rice (Oryza sativa f. spontanea) based on improved YOLOv5-Reference-Cited by-同舟云学术

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YOLOv5s-CBAM-DMLHead: A lightweight identification algorithm for weedy rice (Oryza sativa f. spontanea) based on improved YOLOv5

Published:2023-10 Issue: Volume:172 Page:106342
ISSN:0261-2194
Container-title:Crop Protection
language:en
Short-container-title:Crop Protection

Author:

Yuan Chuangchuang,Liu Tonghai,Gao Fangyu,Zhang Rui,Seng Xiaoyue

Funder

Tianjin Municipal Science and Technology Program

Department of Science and Technology of Inner Mongolia Autonomous Region

Tianjin Research Innovation Project for Postgraduate Students

Publisher

Elsevier BV

Subject

Agronomy and Crop Science

Reference53 articles.

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3. YOLOv4: optimal speed and accuracy of object detection;Bochkovskiy,2021

4. Learning a structure adaptive dictionary for sparse representation based classification;Chang;Neurocomputing,2016

5. Identification of rice plant diseases using lightweight attention networks;Chen;Expert Syst. Appl.,2021

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1. An optimized Yolov5s approach and its application to image detection problems;2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE);2023-09-23

2. Research on the Rapid Recognition Method of Electric Bicycles in Elevators Based on Machine Vision;Sustainability;2023-09-11

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