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CORRECTION article

Front. Plant Sci., 05 January 2022
Sec. Technical Advances in Plant Science
Volume 12 - 2021 | https://doi.org/10.3389/fpls.2021.821325

Corrigendum: Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models

This article is a correction to:

  1. Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models

    1. Read original article
\nSayantan SarkarSayantan Sarkar1A. Ford RamseyA. Ford Ramsey2Alexandre-Brice CazenaveAlexandre-Brice Cazenave1Maria Balota Maria Balota1*
  • 1School of Plant and Environmental Sciences, Virginia Tech, Tidewater AREC, Suffolk, VA, United States
  • 2Department of Agricultural and Applied Economics, Virginia Tech, Blacksburg, VA, United States

A Corrigendum on
Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models

by Sarkar, S., Ramsey, A. F., Cazenave, A.-B., and Balota, M. (2021). Front. Plant Sci. 12:658621. doi: 10.3389/fpls.2021.658621

In the original article, there was a mistake in Table 5 as published. There were typos in the text and numbers of the table. The corrected Table 5 appears below:

TABLE 5
www.frontiersin.org

Table 5. Wilting accuracy matrix with the number of manually taken wilting scores (2018) on a visual scale at the left and outside the table and the count of image-derived wilting scores in the table.

In the original article, there was an error. There were typos in the equations of Model 1.

A correction has been made to Results, Ordinal Logistic Models to Estimate Wilting (Ordinal 0-5 Rating), paragraph 3, Model 1 equations:

Model 1 for proximal RGB images:

P0= e(εa - 11.75) 1+ e(εa  - 11.75)
P1= e(εa  - 7.19) 1+ e(εa- 7.19)-P0
P2= e(εa - 4.28) 1+ e(εa- 4.28)-P0-P1
P3= 1-P0-P1-P2

In the original article, there was a mistake in Table 9 as published. There were typos in the numbers of the table. The corrected Table 9 appears below.

TABLE 9
www.frontiersin.org

Table 9. Wilting accuracy matrix with the number of manual wilting scores (2019) on a visual scale at the left and outside the table and the count of image-derived wilting scores in the table.

The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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.

Keywords: peanut leaf wilting, RGB color space indices, logistic regression, machine learning, high-throughput phenotyping

Citation: Sarkar S, Ramsey AF, Cazenave A-B and Balota M (2022) Corrigendum: Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models. Front. Plant Sci. 12:821325. doi: 10.3389/fpls.2021.821325

Received: 24 November 2021; Accepted: 25 November 2021;
Published: 05 January 2022.

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

Copyright © 2022 Sarkar, Ramsey, Cazenave and Balota. 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: Maria Balota, mbalota@vt.edu

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.