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                                       Details for article 41 of 57 found articles
 
 
  Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network
 
 
Title: Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network
Author: Saha, Dhritiman
Senthilkumar, T.
Singh, Chandra B.
Manickavasagan, Annamalai
Appeared in: Journal of food composition and analysis
Paging: Volume 120 () nr. C pages p.
Year: 2023
Contents:
Publisher: Elsevier Inc.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 41 of 57 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands