CORRECTION article
Front. Plant Sci.
Sec. Sustainable and Intelligent Phytoprotection
This article is part of the Research TopicAI-Driven Plant Intelligence: Bridging Multimodal Sensing, Adaptive Learning, and Ecological Sustainability in Precision Plant ProtectionView all 13 articles
Correction: An improved YOLOv8-seg-based method for key part segmentation of tobacco plants
Provisionally accepted
- 1China Agricultural University College of Engineering, Beijing, China
- 2State Key Laboratory of Intelligent Agricultural Power Equipment, Beijing, China
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Correction on: Liu Y, Chen D, Zhang Y and Wang X ( 2025) An improved YOLOv8-seg-based method for key part segmentation of tobacco plants. Front. Plant Sci. 16:1673202. doi: 10.3389/fpls.2025.1673202 An incorrect number was provided for [Project No. 202405410711069]. The correct number is [Grant No. 110202301016]. The original version of this article has been updated. for a reason not seen here, please contact the journal's editorial office.
Keywords: Agricultural robots, deep learning, same as original article, Tobacco harvesting, YOLOv8
Received: 26 Dec 2025; Accepted: 16 Feb 2026.
Copyright: © 2026 Liu, Chen, Zhang 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) 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: Xin Wang
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