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  1. IR@JU
  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2024 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/7761
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dc.contributor.advisorChatterjee, Arpitam-
dc.contributor.authorMandal, Dipankar-
dc.date.accessioned2025-04-17T10:29:52Z-
dc.date.available2025-04-17T10:29:52Z-
dc.date.issued2024-
dc.date.submitted2024-
dc.identifier.otherTC3986-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/7761-
dc.descriptionAwarded year: 2024en_US
dc.format.extentxx, 136 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectTurmeric Adulterationen_US
dc.subjectDNNen_US
dc.subjectCNNen_US
dc.subjectPCAen_US
dc.subjectBGAen_US
dc.titleApplication of computer vision techniques to detect principal adulterants in turmeric powderen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Printing Engineeringen_US
Appears in Collections:2024 (Awarded Year)

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Ph D Thesis (Printing Engineering) DIPANKAR MANDAL.pdf4.51 MBAdobe PDFView/Open
ABSTRACT DIPANKAR MANDAL.pdf44.89 kBAdobe PDFView/Open
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