Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Food Science and Technology (Campinas) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612023000100411 |
Resumo: | Abstract To explore a new method for the detection of soluble solids content (SSC) in apples, the reflectance spectra of apples with different SSC were obtained based on hyperspectral imaging technology in this paper, and fractal measurement of the reflection spectrum curve was carried out based on fractal theory, for using fractal dimension to quantitatively reflect its SSC. The results show that the samples with different SSC have little difference in fractal dimension, and are not sensitive to the change of apple SSC, which cannot show an obvious linear relationship. It can be considered to conduct a study on discrimination with obvious differences between spectral curves, such as variety discrimination and damage discrimination. |
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Food Science and Technology (Campinas) |
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Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technologyapplehyperspectral imagingfractal theoryfractal dimensionSSCAbstract To explore a new method for the detection of soluble solids content (SSC) in apples, the reflectance spectra of apples with different SSC were obtained based on hyperspectral imaging technology in this paper, and fractal measurement of the reflection spectrum curve was carried out based on fractal theory, for using fractal dimension to quantitatively reflect its SSC. The results show that the samples with different SSC have little difference in fractal dimension, and are not sensitive to the change of apple SSC, which cannot show an obvious linear relationship. It can be considered to conduct a study on discrimination with obvious differences between spectral curves, such as variety discrimination and damage discrimination.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2023-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612023000100411Food Science and Technology v.43 2023reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/fst.96722info:eu-repo/semantics/openAccessMA,XuetingLUO,HuapingLIAO,JieanZHU,LixiaZHAO,JinfeiGAO,Fengeng2022-10-31T00:00:00Zoai:scielo:S0101-20612023000100411Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2022-10-31T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false |
dc.title.none.fl_str_mv |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology |
title |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology |
spellingShingle |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology MA,Xueting apple hyperspectral imaging fractal theory fractal dimension SSC |
title_short |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology |
title_full |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology |
title_fullStr |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology |
title_full_unstemmed |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology |
title_sort |
Study on the detection of apple soluble solids based on fractal theory and hyperspectral imaging technology |
author |
MA,Xueting |
author_facet |
MA,Xueting LUO,Huaping LIAO,Jiean ZHU,Lixia ZHAO,Jinfei GAO,Feng |
author_role |
author |
author2 |
LUO,Huaping LIAO,Jiean ZHU,Lixia ZHAO,Jinfei GAO,Feng |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
MA,Xueting LUO,Huaping LIAO,Jiean ZHU,Lixia ZHAO,Jinfei GAO,Feng |
dc.subject.por.fl_str_mv |
apple hyperspectral imaging fractal theory fractal dimension SSC |
topic |
apple hyperspectral imaging fractal theory fractal dimension SSC |
description |
Abstract To explore a new method for the detection of soluble solids content (SSC) in apples, the reflectance spectra of apples with different SSC were obtained based on hyperspectral imaging technology in this paper, and fractal measurement of the reflection spectrum curve was carried out based on fractal theory, for using fractal dimension to quantitatively reflect its SSC. The results show that the samples with different SSC have little difference in fractal dimension, and are not sensitive to the change of apple SSC, which cannot show an obvious linear relationship. It can be considered to conduct a study on discrimination with obvious differences between spectral curves, such as variety discrimination and damage discrimination. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612023000100411 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612023000100411 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/fst.96722 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos |
publisher.none.fl_str_mv |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos |
dc.source.none.fl_str_mv |
Food Science and Technology v.43 2023 reponame:Food Science and Technology (Campinas) instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) instacron:SBCTA |
instname_str |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) |
instacron_str |
SBCTA |
institution |
SBCTA |
reponame_str |
Food Science and Technology (Campinas) |
collection |
Food Science and Technology (Campinas) |
repository.name.fl_str_mv |
Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) |
repository.mail.fl_str_mv |
||revista@sbcta.org.br |
_version_ |
1752126336077398016 |