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Correction

Correction: Combining biophysical parameters, spectral indices and multivariate hyperspectral models for estimating yield and water productivity of spring wheat across different agronomic practices

  • Salah El-Hendawy,
  • Nasser Al-Suhaibani,
  • Salah Elsayed,
  • Yahya Refay,
  • Majed Alotaibi,
  • Yaser Hassan Dewir,
  • Wael Hassan,
  • Urs Schmidhalter
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There is an error in affiliation 3 for author Salah Elsayed. The correct affiliation 3 is: Evaluation of Natural Resources Department, Environmental Studies and Research Institute, University of Sadat City, Menoufia, Egypt.

Reference

  1. 1. El-Hendawy S, Al-Suhaibani N, Elsayed S, Refay Y, Alotaibi M, et al. (2019) Combining biophysical parameters, spectral indices and multivariate hyperspectral models for estimating yield and water productivity of spring wheat across different agronomic practices. PLoS ONE 14(3): e0212294. https://doi.org/10.1371/journal.pone.0212294 pmid:30840631

Citation: El-Hendawy S, Al-Suhaibani N, Elsayed S, Refay Y, Alotaibi M, Dewir YH, et al. (2019) Correction: Combining biophysical parameters, spectral indices and multivariate hyperspectral models for estimating yield and water productivity of spring wheat across different agronomic practices. PLoS ONE 14(11): e0225294. https://doi.org/10.1371/journal.pone.0225294

Published: November 11, 2019

Copyright: © 2019 El-Hendawy 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.