Continuous monitoring of basil (Ocimum basilicum L.) topology based on partial 4D point clouds
Bouvry, Arnaud
Promotor(s) : Lebeau, Frédéric ; De Cock, Nicolas
Date of defense : 29-Aug-2017 • Permalink : http://hdl.handle.net/2268.2/3010
Details
Title : | Continuous monitoring of basil (Ocimum basilicum L.) topology based on partial 4D point clouds |
Translated title : | [fr] Suivi continu de la topologie du basilic (Ocimum basilicum L.) basé sur des nuages de points partiels en 4D |
Author : | Bouvry, Arnaud |
Date of defense : | 29-Aug-2017 |
Advisor(s) : | Lebeau, Frédéric
De Cock, Nicolas |
Committee's member(s) : | Charles, Catherine
Massinon, Mathieu Mercatoris, Benoît Leemans, Vincent Tocquin, Pierre |
Language : | English |
Number of pages : | 68 |
Keywords : | [en] phenotyping [en] three dimensional imaging [en] structured light [en] hydroponics [en] plant topology [en] plant architecture [fr] phénotypage [fr] imagerie 3D [fr] lumière structurée [fr] hydroponie [fr] topologie végétale [fr] architecture végétale |
Discipline(s) : | Life sciences > Agriculture & agronomy |
Target public : | Researchers Professionals of domain Student |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en bioingénieur : sciences et technologies de l'environnement, à finalité spécialisée |
Faculty: | Master thesis of the Gembloux Agro-Bio Tech (GxABT) |
Abstract
[en] Since phenomics constitutes a bottleneck in yield improvements, there is a growing need
to develop new, automated phenotyping tools. To study plant topological phenotype, the
focus was set on three dimensional measurements with the help of a low cost laser range
sensor : the Intel RealSense SR300. The use of functional-structural plant modeling was
introduced and used to represent plant architecture in a graphical way. The experiment
was conducted on basil in a hydroponic system with controlled environment, with the
design of a high-throughput phenotyping platform in mind. Such systems are often
automated and deliver large quantities of data and results, thus highlighting key-elements
of plant physiology easier than ever before. The performance of the phenotyping platform
was deemed encouraging. The automated use of the SR300 was explored and opens the
way to better performing phenotyping experiments. A calibration method was proposed
and measurement quality was not perfect but shows promise, given a few refinements. A
plant modeling tool with graphical representation capabilities is introduced, with longterm possibilities for model implementation. This study opens many perspectives in terms
of phenotyping applications with the validation of a low-cost 3D sensor and the proposal
of a functional structural modeling tool.
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