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A novel 3D imaging system for strawberry phenotyping.

Joe Q He1,2, Richard J Harrison1,2, Bo Li1

  • 1NIAB EMR, New Road, East Malling, ME19 6BJ UK.

Plant Methods
|November 28, 2017
PubMed
Summary

A new multi-view stereo (MVS) 3D imaging system offers rapid, quantitative strawberry phenotyping. This cost-effective technique accurately measures key fruit traits, aiding plant breeding programs.

Keywords:
3D imagingHigh-throughput phenotypingMulti-view stereoPoint cloud analysis

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Area of Science:

  • Agricultural Science
  • Plant Breeding
  • Imaging Technology

Background:

  • Accurate phenotypic data is crucial for plant breeding and genotype selection.
  • Traditional strawberry phenotyping is manual, time-consuming, and subjective.
  • 3D imaging offers a high-throughput solution for measuring multiple fruit quality attributes.

Purpose of the Study:

  • To develop and assess a low-cost multi-view stereo (MVS) 3D imaging system for strawberry phenotyping.
  • To enable rapid and quantitative measurement of external fruit quality traits.

Main Methods:

  • A 360° MVS imaging system was developed to capture strawberry fruit data.
  • Custom software was used to derive 3D point clouds and analyze traits.
  • Seven agronomically important traits were measured, including dimensions, volume, color, and achene number.

Main Results:

  • The MVS system successfully generated 3D point clouds for 100 strawberry fruits.
  • Measurements of berry height, length, width, volume, calyx size, color, and achene number were obtained.
  • The results showed good concordance with traditional manual assessment methods.

Conclusions:

  • The MVS-based 3D imaging system is feasible for rapid, quantitative phenotyping of strawberry external traits.
  • This technique can be a cost-effective tool for strawberry breeding programs with further improvements.