Author “Shan Ren” was assigned as corresponding author. The correct corresponding author is “Long Tang”.
The original version of this article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
plant phenotyping, deep learning, generative model, biologically-constrained optimization, precision agriculture
Citation
Zhu L, Tang L and Ren S (2025) Correction: Deep learning-based text generation for plant phenotyping and precision agriculture. Front. Plant Sci. 16:1648292. doi: 10.3389/fpls.2025.1648292
Received
17 June 2025
Accepted
27 June 2025
Published
10 July 2025
Volume
16 - 2025
Edited and reviewed by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Updates
Copyright
© 2025 Zhu, Tang and Ren.
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: Long Tang, mlhm59@163.com
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.