A novel 3D imaging system for strawberry phenotyping
Abstract Background Accurate and quantitative phenotypic data in plant breeding programmes is vital in breeding to assess the performance of genotypes and to make selections. Traditional strawberry phenotyping relies on the human eye to assess most external fruit quality attributes, which is time-co...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-11-01
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| Series: | Plant Methods |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13007-017-0243-x |
| _version_ | 1811241387636555776 |
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| author | Joe Q. He Richard J. Harrison Bo Li |
| author_facet | Joe Q. He Richard J. Harrison Bo Li |
| author_sort | Joe Q. He |
| collection | DOAJ |
| description | Abstract Background Accurate and quantitative phenotypic data in plant breeding programmes is vital in breeding to assess the performance of genotypes and to make selections. Traditional strawberry phenotyping relies on the human eye to assess most external fruit quality attributes, which is time-consuming and subjective. 3D imaging is a promising high-throughput technique that allows multiple external fruit quality attributes to be measured simultaneously. Results A low cost multi-view stereo (MVS) imaging system was developed, which captured data from 360° around a target strawberry fruit. A 3D point cloud of the sample was derived and analysed with custom-developed software to estimate berry height, length, width, volume, calyx size, colour and achene number. Analysis of these traits in 100 fruits showed good concordance with manual assessment methods. Conclusion This study demonstrates the feasibility of an MVS based 3D imaging system for the rapid and quantitative phenotyping of seven agronomically important external strawberry traits. With further improvement, this method could be applied in strawberry breeding programmes as a cost effective phenotyping technique. |
| first_indexed | 2024-04-12T13:35:26Z |
| format | Article |
| id | doaj.art-614c9cb0eb66451c92a69f74e96a210b |
| institution | Directory Open Access Journal |
| issn | 1746-4811 |
| language | English |
| last_indexed | 2024-04-12T13:35:26Z |
| publishDate | 2017-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Plant Methods |
| spelling | doaj.art-614c9cb0eb66451c92a69f74e96a210b2022-12-22T03:31:01ZengBMCPlant Methods1746-48112017-11-011311810.1186/s13007-017-0243-xA novel 3D imaging system for strawberry phenotypingJoe Q. He0Richard J. Harrison1Bo Li2NIAB EMRNIAB EMRNIAB EMRAbstract Background Accurate and quantitative phenotypic data in plant breeding programmes is vital in breeding to assess the performance of genotypes and to make selections. Traditional strawberry phenotyping relies on the human eye to assess most external fruit quality attributes, which is time-consuming and subjective. 3D imaging is a promising high-throughput technique that allows multiple external fruit quality attributes to be measured simultaneously. Results A low cost multi-view stereo (MVS) imaging system was developed, which captured data from 360° around a target strawberry fruit. A 3D point cloud of the sample was derived and analysed with custom-developed software to estimate berry height, length, width, volume, calyx size, colour and achene number. Analysis of these traits in 100 fruits showed good concordance with manual assessment methods. Conclusion This study demonstrates the feasibility of an MVS based 3D imaging system for the rapid and quantitative phenotyping of seven agronomically important external strawberry traits. With further improvement, this method could be applied in strawberry breeding programmes as a cost effective phenotyping technique.http://link.springer.com/article/10.1186/s13007-017-0243-x3D imagingMulti-view stereoPoint cloud analysisHigh-throughput phenotyping |
| spellingShingle | Joe Q. He Richard J. Harrison Bo Li A novel 3D imaging system for strawberry phenotyping Plant Methods 3D imaging Multi-view stereo Point cloud analysis High-throughput phenotyping |
| title | A novel 3D imaging system for strawberry phenotyping |
| title_full | A novel 3D imaging system for strawberry phenotyping |
| title_fullStr | A novel 3D imaging system for strawberry phenotyping |
| title_full_unstemmed | A novel 3D imaging system for strawberry phenotyping |
| title_short | A novel 3D imaging system for strawberry phenotyping |
| title_sort | novel 3d imaging system for strawberry phenotyping |
| topic | 3D imaging Multi-view stereo Point cloud analysis High-throughput phenotyping |
| url | http://link.springer.com/article/10.1186/s13007-017-0243-x |
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