Skip to main content

ERRATUM article

Front. Plant Sci., 02 August 2022
Sec. Technical Advances in Plant Science
Volume 13 - 2022 | https://doi.org/10.3389/fpls.2022.985970

Erratum: A perspective on plant phenomics: Coupling deep learning and near-infrared spectroscopy

This article is an erratum on:

  1. A Perspective on Plant Phenomics: Coupling Deep Learning and Near-Infrared Spectroscopy

    1. Read original article
\n Frontiers Production Office Frontiers Production Office*
  • Frontiers Media SA, Lausanne, Switzerland

An Erratum on
A perspective on plant phenomics: Coupling deep learning and near-infrared spectroscopy

by Vasseur, F., Cornet, D., Beurier, G., Messier, J., Rouan, L., Bresson, J., Ecarnot, M., Stahl, M., Heumos, S., Gérard, M., Reijnen, H., Tillard, P., Lacombe, B., Emanuel, A., Floret, J., Estarague, A., Przybylska, S., Sartori, K., Gillespie, L. M., Baron, E., Kazakou, E., Vile, D., and Violle, C. (2022). Front. Plant Sci. 13:836488. doi: 10.3389/fpls.2022.836488

Due to a production error, affiliations 9 and 10 are incorrect.

For affiliation 9, instead of “9LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France” it should be “9CEFE, Univ Montpellier, CNRS, EPHE, Institut Agro, IRD, Montpellier, France.”

For affiliation 10, instead of “10CEFE, Univ Montpellier, CNRS, EPHE, Institut Agro, IRD, Université Paul Valery Montpellier, Montpellier, France” it should be “10LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France.”

In addition, there was an error regarding the affiliations for Justine Floret, Elena Kazakou, and Denis Vile. Instead of “Justine Floret1,9,” “Elena Kazakou10,” and “Denis Vile9,” it should be “Justine Floret1,10,” “Elena Kazakou9,” and “Denis Vile10.”

The publisher apologizes for this mistake. The original article has been updated.

Keywords: Arabidopsis thaliana, near-infrared spectroscopy (NIRS), multivariate analysis, machine learning, functional traits, metabolomics, trait-based ecology

Citation: Frontiers Production Office (2022) Erratum: A perspective on plant phenomics: Coupling deep learning and near-infrared spectroscopy. Front. Plant Sci. 13:985970. doi: 10.3389/fpls.2022.985970

Received: 04 July 2022; Accepted: 04 July 2022;
Published: 02 August 2022.

Approved by: Frontiers Production Office, Frontiers Media SA, Switzerland

Copyright © 2022 Frontiers Production Office. 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: Frontiers Production Office, production.office@frontiersin.org

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.