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A novel 3D imaging system for strawberry phenotyping

Overview of attention for article published in Plant Methods, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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8 X users

Citations

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63 Dimensions

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108 Mendeley
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Title
A novel 3D imaging system for strawberry phenotyping
Published in
Plant Methods, November 2017
DOI 10.1186/s13007-017-0243-x
Pubmed ID
Authors

Joe Q. He, Richard J. Harrison, Bo Li

Abstract

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. 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. 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 20%
Student > Master 12 11%
Student > Ph. D. Student 11 10%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Other 18 17%
Unknown 34 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 34%
Computer Science 11 10%
Engineering 9 8%
Biochemistry, Genetics and Molecular Biology 6 6%
Environmental Science 3 3%
Other 6 6%
Unknown 36 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2017.
All research outputs
#6,092,868
of 24,554,073 outputs
Outputs from Plant Methods
#346
of 1,181 outputs
Outputs of similar age
#93,546
of 336,872 outputs
Outputs of similar age from Plant Methods
#12
of 44 outputs
Altmetric has tracked 24,554,073 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,181 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,872 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.