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CORRECTION article

Front. Plant Sci., 16 January 2026

Sec. Sustainable and Intelligent Phytoprotection

Volume 16 - 2025 | https://doi.org/10.3389/fpls.2025.1774249

This article is part of the Research TopicAdvancing Plant Science with UAVs: Precision in Agricultural Sensing, Targeted Protection, and PhenotypingView all 11 articles

Correction: Integrating UAV visible and multispectral imagery to assess grazing-induced vegetation responses in sandy grasslands

This article is a correction to:

  1. Integrating UAV visible and multispectral imagery to assess grazing-induced vegetation responses in sandy grasslands

    1. Read original article
Qiang GuanQiang Guan1Mingyang JiangMingyang Jiang1Wen Du*Wen Du2*Xueyan Chen,Xueyan Chen3,4Baolong YanBaolong Yan5
  • 1College of Computer Science and Technology, Inner Mongolia Minzu University, Tongliao, China
  • 2College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China
  • 3College of Engineering, Inner Mongolia Minzu University, Tongliao, China
  • 4Innovation Center for Intelligent Forage Equipment, Inner Mongolia Minzu University, Tongliao, China
  • 5College of Grassland Science, Inner Mongolia Minzu University, Tongliao, China

A Correction on
Integrating UAV visible and multispectral imagery to assess grazing-induced vegetation responses in sandy grasslands

By Guan Q, Jiang M, Du W, Chen X and Yan B (2025) Front. Plant Sci. 16:1730583. doi: 10.3389/fpls.2025.1730583

An incorrect grant number was provided for the Science and Technology Plan Project of Inner Mongolia Autonomous Region. The grant number was incorrectly listed as “2025SYFDZ0411”. The correct grant number is “2025YFDZ0025”.

The original version of this 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: sandy grasslands, multi-source remote sensing, unmanned aerial vehicle, grazing intensity, spectral indices, feature selection

Citation: Guan Q, Jiang M, Du W, Chen X and Yan B (2026) Correction: Integrating UAV visible and multispectral imagery to assess grazing-induced vegetation responses in sandy grasslands. Front. Plant Sci. 16:1774249. doi: 10.3389/fpls.2025.1774249

Received: 23 December 2025; Accepted: 31 December 2025;
Published: 16 January 2026.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2026 Guan, Jiang, Du, Chen and Yan. 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: Wen Du, ZHV3ZW5Ac3lhdS5lZHUuY24=

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.