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Open Access

Correction

Correction: Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops

  • Salah Elsayed,
  • Hoda Galal,
  • Mohamed S. Abd El-baki,
  • Mohamed Maher Ibrahim,
  • Ahmed Elbeltagi,
  • Ali Salem,
  • Abdallah Elshawadfy Elwakeel,
  • Osama Elsherbiny,
  • Nadia G. Abd El-Fattah

The second and fourth authors’ names are spelled incorrectly. The correct names are: Hoda Galal and Mohamed Maher Ibrahim. The correct citation is: Elsayed S, Galal H, Abd El-baki MS, Ibrahim MM, Elbeltagi A, Salem A, et al. (2025) Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops. PLoS ONE 20(2): e0313397. https://doi.org/10.1371/journal.pone.0313397

Reference

  1. 1. Elsayed S, Gala H, Abd El-Baki MS, Maher M, Elbeltagi A, Salem A, et al. Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops. PLoS One. 2025;20(2):e0313397. pmid:39932943

Citation: Elsayed S, Galal H, Abd El-baki MS, Ibrahim MM, Elbeltagi A, Salem A, et al. (2026) Correction: Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops. PLoS One 21(3): e0345011. https://doi.org/10.1371/journal.pone.0345011

Published: March 12, 2026

Copyright: © 2026 Elsayed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.