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Correction: Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops (PLoS One (2025) 20:2 (e0313397) DOI: 10.1371/journal.pone.0313397)

  • 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

Research output: Contribution to journal › Comment/debate

Abstract

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

Original languageEnglish
Article numbere0345011
JournalPLOS ONE
Volume21
Issue number3 March
DOIs
StatePublished - Mar 2026

Bibliographical note

Publisher 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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

ASJC Scopus subject areas

  • General

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