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.
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