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Sensors 2016, 16(7), 924;

Verification of Geometric Model-Based Plant Phenotyping Methods for Studies of Xerophytic Plants

Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Piotrowo 3a, 60-965 Poznan, Poland
Botanical Garden, Adam Mickiewicz University, Dąbrowskiego 165, 60-594 Poznan, Poland
Department of Plant Taxonomy, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznan, Poland
Author to whom correspondence should be addressed.
Academic Editor: Simon X. Yang
Received: 16 February 2016 / Revised: 9 May 2016 / Accepted: 31 May 2016 / Published: 27 June 2016
(This article belongs to the Special Issue Sensors for Agriculture)
Full-Text   |   PDF [7886 KB, uploaded 27 June 2016]   |  


This paper presents the results of verification of certain non-contact measurement methods of plant scanning to estimate morphological parameters such as length, width, area, volume of leaves and/or stems on the basis of computer models. The best results in reproducing the shape of scanned objects up to 50 cm in height were obtained with the structured-light DAVID Laserscanner. The optimal triangle mesh resolution for scanned surfaces was determined with the measurement error taken into account. The research suggests that measuring morphological parameters from computer models can supplement or even replace phenotyping with classic methods. Calculating precise values of area and volume makes determination of the S/V (surface/volume) ratio for cacti and other succulents possible, whereas for classic methods the result is an approximation only. In addition, the possibility of scanning and measuring plant species which differ in morphology was investigated. View Full-Text
Keywords: plant digitalization; morphological parameters; DAVID laser scanning system plant digitalization; morphological parameters; DAVID laser scanning system

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Drapikowski, P.; Kazimierczak-Grygiel, E.; Korecki, D.; Wiland-Szymańska, J. Verification of Geometric Model-Based Plant Phenotyping Methods for Studies of Xerophytic Plants. Sensors 2016, 16, 924.

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