Xinrui Wang
Jihong Sun2
Mengyao Wu- 1College of Big Data, Yunnan Agricultural University, Kunming, Yunnan, China
- 2College of Information Engineering, Kunming University, Kunming, Yunnan, China
- 3Qujing Tobacco Company, Qujing, Yunnan, China
A Correction on
Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm
By Wang X, Sun J, Tian P, Wu M, Zhao J, Chen J, Qian Y and Wang C (2025) Front. Plant Sci. 16:1698808. doi: 10.3389/fpls.2025.1698808
Affiliation 3 “Qujing Tobacco Company, Qujing, Yunnan, China” was omitted for author “Mengyao Wu”. This affiliation has now been added for author “Mengyao Wu”. The Conflict of Interest statement has been updated to include this commercial affiliation.
The original Funding statement “The author(s) declare financial support was received for the research and/or publication of this article. This study was supported by the Yunnan Provincial Science and Technology Talent and Platform Program (Academician Expert Workstation) (202405AF140077, 202505AF350026), Yunnan Province Basic Research Special Project (202401AT070253), Yunnan Province Young and Middle aged Academic and Technical Leaders Reserve Talent Project (202405AC350108).” has been updated to “The author(s) declare financial support was received for the research and/or publication of this article. This study was supported by the Yunnan Provincial Science and Technology Talent and Platform Program (Academician) Expert Workstation) (202505AF350026, 202405AF140013).”
The original version of this article has been updated.
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Keywords: sugarcane leaf diseases, disease severity grading, physiological traits, machine learning classification, hyperparameter optimization
Citation: Wang X, Sun J, Tian P, Wu M, Zhao J, Chen J, Qian Y and Wang C (2025) Correction: Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm. Front. Plant Sci. 16:1727382. doi: 10.3389/fpls.2025.1727382
Received: 17 October 2025; Accepted: 24 October 2025;
Published: 18 November 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 Wang, Sun, Tian, Wu, Zhao, Chen, Qian and Wang. 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: Ye Qian, MjAxNDAxNEB5bmF1LmVkdS5jbg==; Canyu Wang, MjAwMTAyN0B5bmF1LmVkdS5jbg==