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Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning

Date

2020
Journal article
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dc.contributor.authorVan De Looverbosch, Tim
dc.contributor.authorBhuiyan, Md Hafizur Rahman
dc.contributor.authorVerboven, Pieter
dc.contributor.authorDierick, Manuel
dc.contributor.authorVan Loo, Denis
dc.contributor.authorDe Beenhouwer, Jan
dc.contributor.authorSijbers, Jan
dc.contributor.authorNicolai, Bart
dc.contributor.imecauthorDe Beenhouwer, Jan
dc.contributor.imecauthorSijbers, Jan
dc.contributor.orcidimecDe Beenhouwer, Jan::0000-0001-5253-1274
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.date.accessioned2021-10-29T05:56:47Z
dc.date.available2021-10-29T05:56:47Z
dc.date.issued2020
dc.identifier.issn3956-7135
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/36126
dc.identifier.urlhttps://doi.org/10.1016/J.FOODCONT.2020.107170
dc.source.beginpage107170
dc.source.journalFood Control
dc.source.volume113
dc.title

Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning

dc.typeJournal article
dspace.entity.typePublication
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