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                                       Details for article 17 of 92 found articles
 
 
  Development of a unified framework of low-rank approximation and deep neural networks for predicting the spatial variability of SSC in `Spania' watermelons using vis/NIR hyperspectral imaging
 
 
Title: Development of a unified framework of low-rank approximation and deep neural networks for predicting the spatial variability of SSC in `Spania' watermelons using vis/NIR hyperspectral imaging
Author: Francis, Jobin
George, Sony
Devassy, Binu M.
George, Sudhish N.
Appeared in: Postharvest biology and technology
Paging: Volume 219 () nr. C pages p.
Year: 2025
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 17 of 92 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands