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Sensors 2014, 14(7), 12670-12686; doi:10.3390/s140712670
Article

Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping

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Received: 8 April 2014; in revised form: 23 June 2014 / Accepted: 24 June 2014 / Published: 15 July 2014
(This article belongs to the Special Issue Agriculture and Forestry: Sensors, Technologies and Procedures)
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Abstract: 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 R2 = 0:99 for the leaf area and R2 = 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.
Keywords: laser scanning; automatic parameterization; barley; automatic classification; plant phenotyping laser scanning; automatic parameterization; barley; automatic classification; plant phenotyping
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.

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MDPI and ACS Style

Paulus, S.; Dupuis, J.; Riedel, S.; Kuhlmann, H. Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping. Sensors 2014, 14, 12670-12686.

AMA Style

Paulus S, Dupuis J, Riedel S, Kuhlmann H. Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping. Sensors. 2014; 14(7):12670-12686.

Chicago/Turabian Style

Paulus, Stefan; Dupuis, Jan; Riedel, Sebastian; Kuhlmann, Heiner. 2014. "Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping." Sensors 14, no. 7: 12670-12686.


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