Article (Scientific journals)
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques.
Harandi, Negin; Vandenberghe, Breght; Vankerschaver, Joris et al.
2023In Plant Methods, 19 (1), p. 60
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Keywords :
3D acquisition; Computer vision; Plant phenotyping; Point cloud processing; Segmentation; Skeletonization; Plant Science; Genetics; Biotechnology
Abstract :
[en] Computer vision technology is moving more and more towards a three-dimensional approach, and plant phenotyping is following this trend. However, despite its potential, the complexity of the analysis of 3D representations has been the main bottleneck hindering the wider deployment of 3D plant phenotyping. In this review we provide an overview of typical steps for the processing and analysis of 3D representations of plants, to offer potential users of 3D phenotyping a first gateway into its application, and to stimulate its further development. We focus on plant phenotyping applications where the goal is to measure characteristics of single plants or crop canopies on a small scale in research settings, as opposed to large scale crop monitoring in the field.
Precision for document type :
Review article
Disciplines :
Biotechnology
Life sciences: Multidisciplinary, general & others
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Harandi, Negin ;  Center for Biosystems and Biotech Data Science, Ghent University Global Campus, 119 Songdomunhwa-ro, Yeonsu-gu, Incheon, South Korea ; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281, S9, Ghent, Belgium
Vandenberghe, Breght ;  BASF Innovation Center, Technologiepark 101, Zwijnaarde, Belgium
Vankerschaver, Joris;  Center for Biosystems and Biotech Data Science, Ghent University Global Campus, 119 Songdomunhwa-ro, Yeonsu-gu, Incheon, South Korea ; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281, S9, Ghent, Belgium
Depuydt, Stephen ;  Erasmus Applied University of Sciences and Arts, Campus Kaai, Nijverheidskaai 170, Anderlecht, Belgium
Van Messem, Arnout   ;  Université de Liège - ULiège > Département de mathématique > Statistique appliquée aux sciences
 These authors have contributed equally to this work.
Language :
English
Title :
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques.
Publication date :
23 June 2023
Journal title :
Plant Methods
eISSN :
1746-4811
Publisher :
Springer Science and Business Media LLC, England
Volume :
19
Issue :
1
Pages :
60
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 04 July 2023

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