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CORRECTION article

Front. Plant Sci., 11 October 2022
Sec. Technical Advances in Plant Science
Volume 13 - 2022 | https://doi.org/10.3389/fpls.2022.1051704

Corrigendum: Field pest monitoring and forecasting system for pest control

This article is a correction to:

  1. Field pest monitoring and forecasting system for pest control

    1. Read original article
Chengkang Liu,&#x;Chengkang Liu1,2†Zhiqiang Zhai,&#x;Zhiqiang Zhai1,2†Ruoyu Zhang,*Ruoyu Zhang1,2*Jingya Bai,Jingya Bai1,2Mengyun Zhang,Mengyun Zhang1,2
  • 1College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China
  • 2Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi, China

A corrigendum on
Field pest monitoring and forecasting system for pest control

by Liu C, Zhai Z, Zhang R, Bai J and Zhang M (2022). 13:990965. doi: 10.3389/fpls.2022.990965

In the published article, there was a mistake in the Correspondence email address for author Ruoyu Zhang. The email address was displayed as “zrjzju@gmail.com”. The correct email address is “zryzju@gmail.com’’.

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: cotton pest, deep learning, image acquisition device, insect outbreak, transfer learning

Citation: Liu C, Zhai Z, Zhang R, Bai J and Zhang M (2022) Corrigendum: Field pest monitoring and forecasting system for pest control. Front. Plant Sci. 13:1051704. doi: 10.3389/fpls.2022.1051704

Received: 23 September 2022; Accepted: 29 September 2022;
Published: 11 October 2022.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2022 Liu, Zhai, Zhang, Bai and Zhang. 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: Ruoyu Zhang, enJ5emp1QGdtYWlsLmNvbQ==

†These authors share first authorship

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.