How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques

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 phenoty...

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Autores principales: Harandi, Negin, Vandenberghe, Breght, Vankerschaver, Joris, Depuydt, Stephen, Van Messem, Arnout
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288709/
https://www.ncbi.nlm.nih.gov/pubmed/37353846
http://dx.doi.org/10.1186/s13007-023-01031-z
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author Harandi, Negin
Vandenberghe, Breght
Vankerschaver, Joris
Depuydt, Stephen
Van Messem, Arnout
author_facet Harandi, Negin
Vandenberghe, Breght
Vankerschaver, Joris
Depuydt, Stephen
Van Messem, Arnout
author_sort Harandi, Negin
collection PubMed
description 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.
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spelling pubmed-102887092023-06-24 How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques Harandi, Negin Vandenberghe, Breght Vankerschaver, Joris Depuydt, Stephen Van Messem, Arnout Plant Methods Review 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. BioMed Central 2023-06-23 /pmc/articles/PMC10288709/ /pubmed/37353846 http://dx.doi.org/10.1186/s13007-023-01031-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Harandi, Negin
Vandenberghe, Breght
Vankerschaver, Joris
Depuydt, Stephen
Van Messem, Arnout
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
title How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
title_full How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
title_fullStr How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
title_full_unstemmed How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
title_short How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
title_sort how to make sense of 3d representations for plant phenotyping: a compendium of processing and analysis techniques
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288709/
https://www.ncbi.nlm.nih.gov/pubmed/37353846
http://dx.doi.org/10.1186/s13007-023-01031-z
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