Correction: A machine learning approach for estimating forage maize yield and quality in NW Spain (PLOS ONE (2025) 20:8 (e0326364) DOI: 10.1371/journal.pone.0326364)

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

There are errors in the author affiliations. The correct affiliations are as follows: Silverio García-Cortés1, Agustín Menéndez-Díaz2, María José Bande- Castro3, Alfonso Carballal-Samalea4, Adela Martínez-Fernández4, Jose Alberto Oliveira-Prendes5 1 Cartographic Engineering Area. University of Oviedo, Asturias, Spain, 2 Construction and Manufacturing Engineering Dept, University of Oviedo, Asturias, Spain, 3 Grassland and Crop Dept, Agricultural Research Center of Mabegondo, Galician Agency of Food Quality (Agacal), Galicia, Spain, 4 Grassland and Forage Research Program. Regional Service for Agri-food Research and Development, Asturias, Spain, 5 Plant Production Area, University of Oviedo, Asturias, Spain. In the Acknowledgement, there is an error in the first sentence. The correct first sentence is: The authors are grateful for a grant provided by the “OECD Co-operative Research Programme” to support a research visit by the second author at the University of Florida, Gainesville, Florida, USA in 2022.

Cite

CITATION STYLE

APA

García-Cortés, S., Menéndez-Díaz, A., Bande-Castro, M. J., Carballal-Samalea, A., Martínez-Fernández, A., & Oliveira-Prendes, J. A. (2025, November 1). Correction: A machine learning approach for estimating forage maize yield and quality in NW Spain (PLOS ONE (2025) 20:8 (e0326364) DOI: 10.1371/journal.pone.0326364). PLOS ONE. Public Library of Science. https://doi.org/10.1371/journal.pone.0337037

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free