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Data · dataset · 2023

Dataset for Adulterated Jeera Powder with Wood Dust

Listed in Teesside University Research Data Repository

It contains high-quality images of Jeera Powder adulteration with Wood Dust at 12 different proportions:- 0%, 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, and 100% adulterant.

Description

The authors want to thank Sri Snehasis Guha, PIC of Malda Polytechnic, 5th-semester students of the department of Food Processing Technology, Malda polytechnic, Government of West Bengal, India, for their support.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Computer Science & AI · Deep learning · Earth & Environmental Science
Inferred from text
Image 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/dxrwf74ddx.115 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:field:461103mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Deep Learning']
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title