Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film

The objective of this study is to compare portable visible spectral imaging (443–726 nm) and conventional RGB imaging for detecting products stored beyond the recommended “use-by” date and predicting the number of days poultry products have been stored. Packages of chicken thighs with skin on were s...

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Autores principales:	Anastasia Swanson, Ana Herrero-Langreo, Aoife Gowen
Formato:	article
Lenguaje:	EN
Publicado:	IM Publications Open 2021
Materias:	portable spectral imaging k-nearest neighbour (knn) partial least squares regression (plsr) poultry “use-by” plastic lidding film Analytical chemistry QD71-142
Acceso en línea:	https://doaj.org/article/fe0df5cad55144ba952129eb212357b1
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spelling	oai:doaj.org-article:fe0df5cad55144ba952129eb212357b12021-11-30T15:51:42ZComparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film10.1255/jsi.2021.a62040-4565https://doaj.org/article/fe0df5cad55144ba952129eb212357b12021-10-01T00:00:00Zhttps://www.impopen.com/jsi-abstract/I10_a6https://doaj.org/toc/2040-4565The objective of this study is to compare portable visible spectral imaging (443–726 nm) and conventional RGB imaging for detecting products stored beyond the recommended “use-by” date and predicting the number of days poultry products have been stored. Packages of chicken thighs with skin on were stored at 4 °C and imaged daily in pack through plastic lidding film using spectral and RGB imaging over 10 days. K-nearest neighbour (KNN) models were built to detect poultry stored beyond its recommended “use-by” date and partial least squares regression (PLSR) models were built to predict the storage day of samples. Model overfitting in the spectral PLSR model was prevented using a geostatistical approach to estimate the number of latent variables (LV). All models were built at the object level by using mean spectra and colour values per image. The KNN model built using spectral images (acc. = 93 %, sen. = 75 %, spec. = 100 %) was more suitable than the model built using RGB images (acc. = 80 %, sen. = 42 %, spec. = 96 %) for detecting poultry stored beyond its “use-by” date. The PLSR model built using spectral images (R2 = 0.78 RMSEC = 0.92, RMSEV = 1.11, RMSEP = 1.34 day) was more suitable than the model built using RGB images (R2 = 0.60, RMSEC = 1.66, RMSEV = 1.67, RMSEP = 1.92 day) for predicting storage day of poultry products.Anastasia SwansonAna Herrero-LangreoAoife GowenIM Publications Openarticleportable spectral imagingk-nearest neighbour (knn)partial least squares regression (plsr)poultry“use-by”plastic lidding filmAnalytical chemistryQD71-142ENJournal of Spectral Imaging, Vol 10, p a6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	portable spectral imaging k-nearest neighbour (knn) partial least squares regression (plsr) poultry “use-by” plastic lidding film Analytical chemistry QD71-142
spellingShingle	portable spectral imaging k-nearest neighbour (knn) partial least squares regression (plsr) poultry “use-by” plastic lidding film Analytical chemistry QD71-142 Anastasia Swanson Ana Herrero-Langreo Aoife Gowen Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film
description	The objective of this study is to compare portable visible spectral imaging (443–726 nm) and conventional RGB imaging for detecting products stored beyond the recommended “use-by” date and predicting the number of days poultry products have been stored. Packages of chicken thighs with skin on were stored at 4 °C and imaged daily in pack through plastic lidding film using spectral and RGB imaging over 10 days. K-nearest neighbour (KNN) models were built to detect poultry stored beyond its recommended “use-by” date and partial least squares regression (PLSR) models were built to predict the storage day of samples. Model overfitting in the spectral PLSR model was prevented using a geostatistical approach to estimate the number of latent variables (LV). All models were built at the object level by using mean spectra and colour values per image. The KNN model built using spectral images (acc. = 93 %, sen. = 75 %, spec. = 100 %) was more suitable than the model built using RGB images (acc. = 80 %, sen. = 42 %, spec. = 96 %) for detecting poultry stored beyond its “use-by” date. The PLSR model built using spectral images (R2 = 0.78 RMSEC = 0.92, RMSEV = 1.11, RMSEP = 1.34 day) was more suitable than the model built using RGB images (R2 = 0.60, RMSEC = 1.66, RMSEV = 1.67, RMSEP = 1.92 day) for predicting storage day of poultry products.
format	article
author	Anastasia Swanson Ana Herrero-Langreo Aoife Gowen
author_facet	Anastasia Swanson Ana Herrero-Langreo Aoife Gowen
author_sort	Anastasia Swanson
title	Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film
title_short	Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film
title_full	Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film
title_fullStr	Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film
title_full_unstemmed	Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film
title_sort	comparison of portable spectral imaging (443–726 nm) and rgb imaging for predicting poultry product “use-by” status through packaging film
publisher	IM Publications Open
publishDate	2021
url	https://doaj.org/article/fe0df5cad55144ba952129eb212357b1
work_keys_str_mv	AT anastasiaswanson comparisonofportablespectralimaging443726nmandrgbimagingforpredictingpoultryproductusebystatusthroughpackagingfilm AT anaherrerolangreo comparisonofportablespectralimaging443726nmandrgbimagingforpredictingpoultryproductusebystatusthroughpackagingfilm AT aoifegowen comparisonofportablespectralimaging443726nmandrgbimagingforpredictingpoultryproductusebystatusthroughpackagingfilm
_version_	1718406541775732736

Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film

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