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Sensors 2015, 15(5), 9651-9665; doi:10.3390/s150509651

Accuracy Analysis of a Multi-View Stereo Approach for Phenotyping of Tomato Plants at the Organ Level

Department of Geodesy, Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 17, 53115 Bonn, Germany
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 18 December 2014 / Revised: 14 April 2015 / Accepted: 20 April 2015 / Published: 24 April 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [10766 KB, uploaded 24 April 2015]   |  

Abstract

Accessing a plant’s 3D geometry has become of significant importance for phenotyping during the last few years. Close-up laser scanning is an established method to acquire 3D plant shapes in real time with high detail, but it is stationary and has high investment costs. 3D reconstruction from images using structure from motion (SfM) and multi-view stereo (MVS) is a flexible cost-effective method, but requires post-processing procedures. The aim of this study is to evaluate the potential measuring accuracy of an SfM- and MVS-based photogrammetric method for the task of organ-level plant phenotyping. For this, reference data are provided by a high-accuracy close-up laser scanner. Using both methods, point clouds of several tomato plants were reconstructed at six following days. The parameters leaf area, main stem height and convex hull of the complete plant were extracted from the 3D point clouds and compared to the reference data regarding accuracy and correlation. These parameters were chosen regarding the demands of current phenotyping scenarios. The study shows that the photogrammetric approach is highly suitable for the presented monitoring scenario, yielding high correlations to the reference measurements. This cost-effective 3D reconstruction method depicts an alternative to an expensive laser scanner in the studied scenarios with potential for automated procedures. View Full-Text
Keywords: SfM and MVS photogrammetry; close-up laser scanning; plant phenotyping; organ-level parameterization SfM and MVS photogrammetry; close-up laser scanning; plant phenotyping; organ-level parameterization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rose, J.C.; Paulus, S.; Kuhlmann, H. Accuracy Analysis of a Multi-View Stereo Approach for Phenotyping of Tomato Plants at the Organ Level. Sensors 2015, 15, 9651-9665.

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