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Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping
Due to the rise of laser scanning the 3D geometry of plant architecture is easy to acquire. Nevertheless, an automated interpretation and, finally, the segmentation into functional groups are still difficult to achieve. Two barley plants were scanned in a time course, and the organs were separated b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168454/ https://www.ncbi.nlm.nih.gov/pubmed/25029283 http://dx.doi.org/10.3390/s140712670 |
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author | Paulus, Stefan Dupuis, Jan Riedel, Sebastian Kuhlmann, Heiner |
author_facet | Paulus, Stefan Dupuis, Jan Riedel, Sebastian Kuhlmann, Heiner |
author_sort | Paulus, Stefan |
collection | PubMed |
description | Due to the rise of laser scanning the 3D geometry of plant architecture is easy to acquire. Nevertheless, an automated interpretation and, finally, the segmentation into functional groups are still difficult to achieve. Two barley plants were scanned in a time course, and the organs were separated by applying a histogram-based classification algorithm. The leaf organs were represented by meshing algorithms, while the stem organs were parameterized by a least-squares cylinder approximation. We introduced surface feature histograms with an accuracy of 96% for the separation of the barley organs, leaf and stem. This enables growth monitoring in a time course for barley plants. Its reliability was demonstrated by a comparison with manually fitted parameters with a correlation R(2) = 0.99 for the leaf area and R(2) = 0.98 for the cumulated stem height. A proof of concept has been given for its applicability for the detection of water stress in barley, where the extension growth of an irrigated and a non-irrigated plant has been monitored. |
format | Online Article Text |
id | pubmed-4168454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-41684542014-09-19 Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping Paulus, Stefan Dupuis, Jan Riedel, Sebastian Kuhlmann, Heiner Sensors (Basel) Article Due to the rise of laser scanning the 3D geometry of plant architecture is easy to acquire. Nevertheless, an automated interpretation and, finally, the segmentation into functional groups are still difficult to achieve. Two barley plants were scanned in a time course, and the organs were separated by applying a histogram-based classification algorithm. The leaf organs were represented by meshing algorithms, while the stem organs were parameterized by a least-squares cylinder approximation. We introduced surface feature histograms with an accuracy of 96% for the separation of the barley organs, leaf and stem. This enables growth monitoring in a time course for barley plants. Its reliability was demonstrated by a comparison with manually fitted parameters with a correlation R(2) = 0.99 for the leaf area and R(2) = 0.98 for the cumulated stem height. A proof of concept has been given for its applicability for the detection of water stress in barley, where the extension growth of an irrigated and a non-irrigated plant has been monitored. MDPI 2014-07-15 /pmc/articles/PMC4168454/ /pubmed/25029283 http://dx.doi.org/10.3390/s140712670 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Paulus, Stefan Dupuis, Jan Riedel, Sebastian Kuhlmann, Heiner Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping |
title | Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping |
title_full | Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping |
title_fullStr | Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping |
title_full_unstemmed | Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping |
title_short | Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping |
title_sort | automated analysis of barley organs using 3d laser scanning: an approach for high throughput phenotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168454/ https://www.ncbi.nlm.nih.gov/pubmed/25029283 http://dx.doi.org/10.3390/s140712670 |
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