In the published article, there was an error in Figure 2 as published. An error appears in the upper left corner of the figure. The corrected Figure 2 and its caption YOLOv4 network structure diagram. * means repeat the operation. appear below.
Figure 2
In the published article, there was an error in Figure 6 as published. The left side of the figure is missing. The corrected Figure 6 and its caption Improved combinational convolution-CA module at fusion. appear below.
Figure 6
In the published article, there was an error in Figure 10 as published. An error appears in the upper left corner of the figure. The corrected Figure 10 and its caption The improved YOLOv4 network structure diagram. * means repeat the operation. appear below.
Figure 10
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
improved YOLOv4, GhostNet, coordinate attention, improved combinational convolution module, target recognition
Citation
Zhang F, Cao W, Wang S, Cui X, Yang N, Wang X, Zhang X and Fu S (2022) Corrigendum: Improved YOLOv4 recognition algorithm for pitaya based on coordinate attention and combinational convolution. Front. Plant Sci. 13:1092374. doi: 10.3389/fpls.2022.1092374
Received
08 November 2022
Accepted
06 December 2022
Published
21 December 2022
Volume
13 - 2022
Edited and reviewed by
Yongliang Qiao, The University of Sydney, Australia
Updates
Copyright
© 2022 Zhang, Cao, Wang, Cui, Yang, Wang, Zhang and Fu.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ning Yang, yangn@ujs.edu.cn; Sanling Fu, fusanling@126.com
This article was submitted to Sustainable and Intelligent Phytoprotection, a section of the journal Frontiers in Plant Science
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.