Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning

dc.contributor.author	Varga, Leon Amadeus
dc.contributor.author	Zell, Andreas
dc.date.accessioned	2021-12-27T19:12:46Z
dc.date.available	2021-12-27T19:12:46Z
dc.date.issued	2021
dc.identifier.isbn	978-1-6654-3900-8
dc.identifier.uri	http://hdl.handle.net/10900/122403
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	https://dx.doi.org/10.1109/IJCNN52387.2021.9533728	de_DE
dc.subject.ddc	004	de_DE
dc.title	Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning	de_DE
dc.type	Article	de_DE
utue.personen.roh	Varga, Leon Amadeus
utue.personen.roh	Makowski, Jan
utue.personen.roh	Zell, Andreas
dcterms.isPartOf.ZSTitelID	2021 International Joint Conference on Neural Networks (IJCNN)	de_DE

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