How to make sense of 3D representations for plant phenotyping : a compendium of processing and analysis techniques
- Author
- Negin Harandi (UGent) , Breght Vandenberghe (UGent) , Joris Vankerschaver (UGent) , Stephen Depuydt (UGent) and Arnout Van Messem (UGent)
- Organization
- Project
- Abstract
- 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.
- Keywords
- Plant Science, Genetics, Biotechnology, Plant phenotyping, 3D acquisition, Computer vision, Point cloud processing, Segmentation, Skeletonization, TIME-OF-FLIGHT, MESH SEGMENTATION, POINT CLOUDS, LEARNING TECHNIQUES, AUTOMATED RECOVERY, IMAGING-SYSTEM, WATER-CONTENT, DEPTH IMAGES, MEAN SHIFT, RECONSTRUCTION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01H4HX4JMCA4WAVZA59516X0BM
- MLA
- Harandi, Negin, et al. “How to Make Sense of 3D Representations for Plant Phenotyping : A Compendium of Processing and Analysis Techniques.” PLANT METHODS, vol. 19, no. 1, 2023, doi:10.1186/s13007-023-01031-z.
- APA
- Harandi, N., Vandenberghe, B., Vankerschaver, J., Depuydt, S., & Van Messem, A. (2023). How to make sense of 3D representations for plant phenotyping : a compendium of processing and analysis techniques. PLANT METHODS, 19(1). https://doi.org/10.1186/s13007-023-01031-z
- Chicago author-date
- Harandi, Negin, Breght Vandenberghe, Joris Vankerschaver, Stephen Depuydt, and Arnout Van Messem. 2023. “How to Make Sense of 3D Representations for Plant Phenotyping : A Compendium of Processing and Analysis Techniques.” PLANT METHODS 19 (1). https://doi.org/10.1186/s13007-023-01031-z.
- Chicago author-date (all authors)
- Harandi, Negin, Breght Vandenberghe, Joris Vankerschaver, Stephen Depuydt, and Arnout Van Messem. 2023. “How to Make Sense of 3D Representations for Plant Phenotyping : A Compendium of Processing and Analysis Techniques.” PLANT METHODS 19 (1). doi:10.1186/s13007-023-01031-z.
- Vancouver
- 1.Harandi N, Vandenberghe B, Vankerschaver J, Depuydt S, Van Messem A. How to make sense of 3D representations for plant phenotyping : a compendium of processing and analysis techniques. PLANT METHODS. 2023;19(1).
- IEEE
- [1]N. Harandi, B. Vandenberghe, J. Vankerschaver, S. Depuydt, and A. Van Messem, “How to make sense of 3D representations for plant phenotyping : a compendium of processing and analysis techniques,” PLANT METHODS, vol. 19, no. 1, 2023.
@article{01H4HX4JMCA4WAVZA59516X0BM,
abstract = {{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.}},
articleno = {{60}},
author = {{Harandi, Negin and Vandenberghe, Breght and Vankerschaver, Joris and Depuydt, Stephen and Van Messem, Arnout}},
issn = {{1746-4811}},
journal = {{PLANT METHODS}},
keywords = {{Plant Science,Genetics,Biotechnology,Plant phenotyping,3D acquisition,Computer vision,Point cloud processing,Segmentation,Skeletonization,TIME-OF-FLIGHT,MESH SEGMENTATION,POINT CLOUDS,LEARNING TECHNIQUES,AUTOMATED RECOVERY,IMAGING-SYSTEM,WATER-CONTENT,DEPTH IMAGES,MEAN SHIFT,RECONSTRUCTION}},
language = {{eng}},
number = {{1}},
pages = {{46}},
title = {{How to make sense of 3D representations for plant phenotyping : a compendium of processing and analysis techniques}},
url = {{http://doi.org/10.1186/s13007-023-01031-z}},
volume = {{19}},
year = {{2023}},
}
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