There was a mistake in Figure 3 as published. I was working on two papers simultaneously, this one and another related to citrus (see this link). While preparing the flowcharts for both projects, I inadvertently used the same name for both files, which led to this confusion. The corrected Figure 3 appears below.
Figure 3
The original version of this article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
Mask R-CNN, instance segmentation, quinoa, precision agriculture, deep learning
Citation
El Akrouchi M, Mhada M, Gracia DR, Hawkesford MJ and Gérard B (2025) Correction: Optimizing Mask R-CNN for enhanced quinoa panicle detection and segmentation in precision agriculture. Front. Plant Sci. 16:1664228. doi: 10.3389/fpls.2025.1664228
Received
11 July 2025
Accepted
18 July 2025
Published
01 August 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
16 - 2025
Updates
Copyright
© 2025 El Akrouchi, Mhada, Gracia, Hawkesford and Gérard.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Manal El Akrouchi, manal.elakrouchi@um6p.ma
†These authors have contributed equally to this work and share first authorship
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.