Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection...
Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models
About this item
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Author / Creator
Zhu, Hongyan , Chu, Bingquan , Fan, Yangyang , Tao, Xiaoya , Yin, Wenxin and He, Yong
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
We investigated the feasibility and potentiality of determining firmness, soluble solids content (SSC), and pH in kiwifruits using hyperspectral imaging, combined with variable selection methods and calibration models. The images were acquired by a push-broom hyperspectral reflectance imaging system covering two spectral ranges. Weighted regression...
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Full title
Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_75222954063f455481066c3c390382c1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75222954063f455481066c3c390382c1
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-017-08509-6
