title: Verification of Geometric Model-Based Plant Phenotyping Methods for Studies of Xerophytic Plants.
abstract: 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.
authors.affiliation: Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Piotrowo 3a, 60-965 Poznan, Poland. pawel.drapikowski@put.poznan.pl.
authors.forename: Paweł
authors.initials: P
authors.lastname: Drapikowski
authors.affiliation: Botanical Garden, Adam Mickiewicz University, Dąbrowskiego 165, 60-594 Poznan, Poland. ewakg@amu.edu.pl.
authors.forename: Ewa
authors.initials: E
authors.lastname: Kazimierczak-Grygiel
authors.affiliation: Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Piotrowo 3a, 60-965 Poznan, Poland. korecki.dominik@gmail.com.
authors.forename: Dominik
authors.initials: D
authors.lastname: Korecki
authors.affiliation: Botanical Garden, Adam Mickiewicz University, Dąbrowskiego 165, 60-594 Poznan, Poland. wiland@amu.edu.pl.|Department of Plant Taxonomy, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznan, Poland. wiland@amu.edu.pl.
authors.forename: Justyna
authors.initials: J
authors.lastname: Wiland-Szymańska
mesh_terms: D000504:Aloe / Q000033:anatomy & histology; D003198:Computer Simulation; D003890:Desiccation; D007091:Image Processing, Computer-Assisted; D007834:Lasers; D010641:Phenotype; D018515:Plant Leaves / Q000033:anatomy & histology; D010944:Plants / Q000033:anatomy & histology*; D015203:Reproducibility of Results
keywords: DAVID laser scanning system; morphological parameters; plant digitalization