Front. Plant Sci. Frontiers in Plant Science Front. Plant Sci. 1664-462X Frontiers Media S.A. 10.3389/fpls.2026.1806058 Correction Correction: Near-infrared prediction of tannin content in walnut kernels using wavelet transform combined with interpretable machine learning models XiaQiuhao 1 2 3 † Software Methodology Writing – original draft LuoLangqin 2 3 4 † Data curation Writing – review & editing YerzatiYerhazi 1 2 3 Visualization Investigation Writing – review & editing AhmedMian Muhammad 2 3 4 Supervision Writing – review & editing ChenYonghao 5 Resources Writing – review & editing Conceptualization WangShiwei 6 Resources Writing – review & editing Conceptualization Supervision QinJiangnan 1 2 Resources Conceptualization Writing – review & editing Supervision ChenLiping 7 Supervision Writing – review & editing Resources JinQiang 1 2 3 Resources Writing – review & editing Supervision GuoZhongzhong 1 2 3 * Supervision Writing – review & editing Conceptualization Resources Funding acquisition ZhangRui 1 2 3 * Writing – review & editing College of Horticulture and Forestry, Tarim University, Alar, China Efficient and High-Quality Cultivation and Deep Processing Technology of Characteristic Fruit Trees in Southern Xinjiang, National Local Joint Engineering Laboratory, Alar, China Xinjiang Production and Construction Corps, Southern Xinjiang Characteristic Forest and Fruit Technology Innovation Center, Alar, China College of Life Science and Technology, Tarim University, Alar, China Beijing Academy of Agricultural and Forestry Sciences Forestry Fruit Tree Research Institute, Beijing, China School of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, China School of Information Engineering, Tarim University, Aral, China Correspondence: Rui Zhang, zhrgsh@163.com; Zhongzhong Guo, 742560026@qq.com

These authors have contributed equally to this work

 27 02 2026 2026 17 1806058 07 02 2026 09 02 2026 Copyright © 2026 Xia, Luo, Yerzati, Ahmed, Chen, Wang, Qin, Chen, Jin, Guo and Zhang. 2026 Xia, Luo, Yerzati, Ahmed, Chen, Wang, Qin, Chen, Jin, Guo and Zhang https://creativecommons.org/licenses/by/4.0/ 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. A Correction on Near-infrared prediction of tannin content in walnut kernels using wavelet transform combined with interpretable machine learning models By Xia Q, Luo L, Yerzati Y, Ahmed MM, Chen Y, Wang S, Qin J, Chen L, Jin Q, Guo Z and Zhang R (2026) Front. Plant Sci. 17:1746869. doi: 10.3389/fpls.2026.1746869 continuous wavelet transform (CWT) near-infrared random forest (RF) Shapley additive explanations (SHAP) tannins section-at-acceptance Sustainable and Intelligent Phytoprotection

There is an error in the correspondence section of the article as published. Author Zhongzhong Guo was not included as a corresponding author.

The original article has been updated.

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