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Water
  • Correction
  • Open Access

4 December 2025

Correction: Gaznayee et al. Integrating Remote Sensing Techniques and Meteorological Data to Assess the Ideal Irrigation System Performance Scenarios for Improving Crop Productivity. Water 2023, 15, 1605

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1
Department of Forestry, College of Agricultural Engineering Science, Salahaddin University-Erbil, Erbil 44003, Iraq
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Petroleum and Mining Engineering Department, Faculty of Engineering, Tishk International University, Erbil 44001, Iraq
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Department of Soil and Water, College of Agricultural Engineering Science, Salahaddin University-Erbil, Erbil 44003, Iraq
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Soil Physics and Land Management Group, Wageningen University & Research, 6700 AA Wageningen, The Netherlands
The journal’s Editorial Office and Editorial Board are jointly issuing a resolution and removal of the Journal Notice linked to this article [1], as well as an update to the original publication. Following concerns raised about the integrity of the peer-review, the Editorial Office has conducted a post-publication peer-review of this article. This process included the recruitment of new independent reviewers and was supervised by an Editorial Board member to ensure full compliance with MDPI’s Editorial Process (https://www.mdpi.com/editorial_process).
As a result of this process, the Editorial Board member and the authors have agreed to update the following aspects of this publication:
The original Academic Editor listed on this publication has been removed and replaced with the Editorial Board member who conducted this post-publication review.
  • Based on the new review reports, the following corrections have been made to the original publication:
Figure 2 caption now states “for the year 2021” rather than “for 2021 years”, and on Section 3.2, Paragraph 1, “phonological” has been changed to “phenological”.
With this update, the Academic Editor is satisfied that the Editorial Process relating to this article has been completed as per MDPI’s Editorial Process policy. The Editorial Office would like to thank the authors for their collaboration during this process. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Gaznayee, H.A.A.; Zaki, S.H.; Al-Quraishi, A.M.F.; Aliehsan, P.H.; Hakzi, K.K.; Razvanchy, H.A.S.; Riksen, M.; Mahdi, K. Integrating Remote Sensing Techniques and Meteorological Data to Assess the Ideal Irrigation System Performance Scenarios for Improving Crop Productivity. Water 2023, 15, 1605. [Google Scholar] [CrossRef]
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