This article is a correction to:
The effects of sampling and instrument orientation on LiDAR data from crop plots
Azar Khorsandi
Karen Tanino
Scott D. Noble- 1Department of Chemical and Biological Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada
- 2Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, SK, Canada
- 3Department of Mechanical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada
A corrigendum on
The effects of sampling and instrument orientation on LiDAR data from crop plots
by Khorsandi A, Tanino K and Noble SD (2023) Front. Plant Sci. 14:1087239. doi: 10.3389/fpls.2023.1087239
In the published article, there was an error in the Funding statement. This research was also funded by the “Western Grains Research Foundation” and should be added to the list of funders. The previous Funding statement was “The authors acknowledge the financial support of the Dean’s Scholarship and from the College of Graduate and Postdoctoral Studies (CGPS), University of Saskatchewan., the Saskatchewan Ministry of Agriculture, Saskatchewan Wheat Development Commission, and the Canada First Research Excellence Fund via the P2IRC project.”. The correct Funding statement appears below.
Funding
The authors acknowledge the financial support of the Dean’s Scholarship and from the College of Graduate and Postdoctoral Studies (CGPS), University of Saskatchewan., the Saskatchewan Ministry of Agriculture, the Western Grains Research Foundation, the Saskatchewan Wheat Development Commission, and the Canada First Research Excellence Fund via the P2IRC project.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher’s note
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Keywords: wheat, LiDAR, phenomics, phenotyping, spatial sampling
Citation: Khorsandi A, Tanino K and Noble SD (2023) Corrigendum: The effects of sampling and instrument orientation on LiDAR data from crop plots. Front. Plant Sci. 14:1217158. doi: 10.3389/fpls.2023.1217158
Received: 04 May 2023; Accepted: 05 May 2023;
Published: 29 May 2023.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2023 Khorsandi, Tanino and Noble. 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: Scott D. Noble, c2NvdHQubm9ibGVAdXNhc2suY2E=
†ORCID: Scott D. Noble, orcid.org/0000-0003-4917-993X