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dc.contributor.authorChia, Terence Yi Kai
dc.contributor.supervisorAgus Saptoroen_US
dc.contributor.supervisorHann Limen_US
dc.date.accessioned2021-09-13T06:43:01Z
dc.date.available2021-09-13T06:43:01Z
dc.date.issued2021en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/85449
dc.description.abstract

Sarawak black pepper is highly valued by consumers around the globe and hence earns its high pricing. Common adulterants such as papaya seeds powder are added into black pepper powder products to reduce cost and increase profit, causing decline in their authenticity. This thesis explores Visible-NIR hyperspectral imaging (HSI) as a rapid, non-destructive and affordable method to determine adulterants and geographical origin of Sarawak ground black pepper using various common machine learning techniques and deep learning.

en_US
dc.publisherCurtin Universityen_US
dc.titleHyperspectral Imaging for Detecting Authenticity and Geographical Origin of Sarawak Ground Black Pepperen_US
dc.typeThesisen_US
dcterms.educationLevelMPhilen_US
curtin.departmentCurtin Malaysiaen_US
curtin.accessStatusFulltext not availableen_US
curtin.facultyCurtin Malaysiaen_US
curtin.contributor.orcidChia, Terence Yi Kai [0000-0002-7553-0298]en_US
dc.date.embargoEnd2023-09-08


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