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Automated seed testing by 3D X-ray computed tomography

 
: Porsch, Felix

:
Volltext urn:nbn:de:0011-n-5829122 (871 KByte PDF)
MD5 Fingerprint: 1483a82213689bd18b8609ecf4c84327
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Erstellt am: 1.4.2020


Seed science and technology : SST 48 (2020), Nr.1, S.73-81
ISSN: 1819-5717
ISSN: 0251-0952
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IZFP ()
computed tomography (CT); image processing; seed production; seed testing; x-ray

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.

: http://publica.fraunhofer.de/dokumente/N-582912.html