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CORRECTION article

Front. Plant Sci.

Sec. Sustainable and Intelligent Phytoprotection

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1725871

This article is part of the Research TopicSmart Sensing in Plant Science: Advancing Plant-Environment Interactions for Sustainable PhytoprotectionView all 4 articles

Correction: ADQ-YOLOv8m: a precise detection model of sugarcane disease in complex environment

Provisionally accepted
Zhaowen  LiZhaowen Li1,2*Jihong  SunJihong Sun3*Ying  YangYing Yang1Jiangquan  ChenJiangquan Chen1Qian  YuQian Yu4Zheng  ZhouZheng Zhou5Yan  YangYan Yang6Tao  YinTao Yin1Haokai  ZhangHaokai Zhang7Ye  QianYe Qian1*
  • 1Yunnan Agricultural University, Kunming, China
  • 2Kunming University of Science and Technology, Kunming, China
  • 3Kunming University, Kunming, China
  • 4Yunnan University, Kunming, China
  • 5Yunnan Provincial Academy Of Science And Technology, Kuming, China
  • 6Yunnan Provincial Academy Of Science And Technology, Kunming, China
  • 7China Agricultural University, Beijing, China

The final, formatted version of the article will be published soon.

Keywords: Complex environment, Sugarcane diseases, YOLOv8, Precise detection, Generalization ability

Received: 15 Oct 2025; Accepted: 17 Oct 2025.

Copyright: © 2025 Li, Sun, Yang, Chen, Yu, Zhou, Yang, Yin, Zhang and Qian. 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) or licensor 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:
Zhaowen Li, lzw79513@sina.com
Jihong Sun, sjh918a@sina.com
Ye Qian, 2014014@ynau.edu.cn

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