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  4. Automated seed testing by 3D X-ray computed tomography
 
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2020
Journal Article
Title

Automated seed testing by 3D X-ray computed tomography

Abstract
In this paper, a fully automated CT-scanner is presented, which has been developed for testing of sugar beet seeds in industrial production environment. The system is simple to use, and no special training is needed for staff. The system has high throughput and the evaluation of volume images is performed automatically by dedicated image processing software. Quantitative measures of various characteristics of the parts of the seed (volume, thickness, weight) for each individual seed of a sample of 400 seeds are obtained. From these measurements, quality parameters can be derived to control seed processing.
Author(s)
Porsch, Felix  
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Journal
Seed science and technology : SST  
Open Access
File(s)
Download (871.77 KB)
Rights
CC BY-NC 4.0: Creative Commons Attribution-NonCommercial
DOI
10.15258/sst.2020.48.1.10
10.24406/publica-r-261791
Additional link
Full text
Language
English
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Keyword(s)
  • computed tomography (CT)

  • image processing

  • seed production

  • seed testing

  • x-ray

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