Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Correction: A machine learning approach for estimating forage maize yield and quality in NW Spain

  • Silverio García-Cortés,
  • Agustín Menéndez-Díaz,
  • María José Bande-Castro,
  • Alfonso Carballal-Samalea,
  • Adela Martínez-Fernández,
  • Jose Alberto Oliveira-Prendes

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.

Reference

  1. 1. García-Cortés S, Menéndez-Díaz A, Bande-Castro MJ, Carballal-Samalea A, Martínez-Fernández A, Oliveira-Prendes JA. A machine learning approach for estimating forage maize yield and quality in NW Spain. PLoS One. 2025;20(8):e0326364. pmid:40794726