CORRECTION article
Front. Plant Sci.
Sec. Sustainable and Intelligent Phytoprotection
Correction: A digital twin–driven deep learning framework for online quality inspection in tobacco transplanting
Provisionally accepted- 1Beijing Forestry University, Beijing, China
- 2Yunnan Academy of Tobacco Agricultural Sciences, kunming, China
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Keywords: crop management, deep learning, Digital-twin, Online quality inspection, Tobacco, Transplanting
Received: 05 Feb 2026; Accepted: 06 Feb 2026.
Copyright: © 2026 Zhao, Ma, Zhao, You, Liu and Zhao. 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:
Jian Zhao
Dong Zhao
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