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CORRECTION article

Front. Plant Sci., 09 February 2023
Sec. Technical Advances in Plant Science
This article is part of the Research Topic Machine Learning in Plant Science, Volume II View all 9 articles

Corrigendum: Improved real-time semantic segmentation network model for crop vision navigation line detection

Maoyong CaoMaoyong CaoFangfang TangFangfang TangPeng JiPeng JiFengying Ma*Fengying Ma*
  • School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

A Corrigendum on
Improved real-time semantic segmentation network model for crop vision navigation line detection.

By Cao M, Tang F, Ji P and Ma F (2022) Front. Plant Sci. 13:898131. doi: 10.3389/fpls.2022.898131

In the published article, the reference for "Brostow et al., 2008" was incorrectly written as “Brostow, G. J., Shotton, J., Fauqueur, J., and Cipolla, R. (2008). “Segmentation and recognition using structure from motion point clouds.” in European Conference on Computer Vision. Berlin, Heidelberg, (Springer), 44–57”. It should be "de Silva, R., Cielniak, G., and Gao, J. (2021). Towards agricultural autonomy: crop row detection under varying field conditions using deep learning. arXiv [Preprint] arXiv:2109.08247".s

In the published article, the reference for “de Silva et al., 2021” was incorrectly written as “de Silva, R., Cielniak, G., and Gao, J. (2021). Towards agricultural autonomy: crop row detection under varying field conditions using deep learning. arXiv [Preprint] arXiv:2109.08247”. It should be “Brostow, G. J., Shotton, J., Fauqueur, J., and Cipolla, R. (2008). “Segmentation and recognition using structure from motion point clouds.” in European Conference on Computer Vision. Berlin, Heidelberg, (Springer), 44–57”.

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.

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.

Keywords: precision agriculture application, visual navigation, semantic segmentation, crop rows detection, navigation path recognition

Citation: Cao M, Tang F, Ji P and Ma F (2023) Corrigendum: Improved real-time semantic segmentation network model for crop vision navigation line detection. Front. Plant Sci. 14:1140560. doi: 10.3389/fpls.2023.1140560

Received: 09 January 2023; Accepted: 30 January 2023;
Published: 09 February 2023.

Edited and Reviewed by:

Ming Chen, Zhejiang University, China

Copyright © 2023 Cao, Tang, Ji and Ma. 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: Fengying Ma, bWFmZW5neUAxNjMuY29t

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.