The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor

Abstract The water displacement and flotation are two of the most accurate and rapid methods for grading and assessing freshness of agricultural products based on density determination. However, these techniques are still not suitable for use in agricultural inspections of products such as eggs that...

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Autores principales:	Supakorn Harnsoongnoen, Nuananong Jaroensuk
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/464184a083ce4e07be6e052ff501dc0c
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spelling	oai:doaj.org-article:464184a083ce4e07be6e052ff501dc0c2021-12-02T18:51:41ZThe grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor10.1038/s41598-021-96140-x2045-2322https://doaj.org/article/464184a083ce4e07be6e052ff501dc0c2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96140-xhttps://doaj.org/toc/2045-2322Abstract The water displacement and flotation are two of the most accurate and rapid methods for grading and assessing freshness of agricultural products based on density determination. However, these techniques are still not suitable for use in agricultural inspections of products such as eggs that absorb water which can be considered intrusive or destructive and can affect the result of measurements. Here we present a novel proposal for a method of non-destructive, non-invasive, low cost, simple and real—time monitoring of the grading and freshness assessment of eggs based on density detection using machine vision and a weighing sensor. This is the first proposal that divides egg freshness into intervals through density measurements. The machine vision system was developed for the measurement of external physical characteristics (length and breadth) of eggs for evaluating their volume. The weighing system was developed for the measurement of the weight of the egg. Egg weight and volume were used to calculate density for grading and egg freshness assessment. The proposed system could measure the weight, volume and density with an accuracy of 99.88%, 98.26% and 99.02%, respectively. The results showed that the weight and freshness of eggs stored at room temperature decreased with storage time. The relationship between density and percentage of freshness was linear for the all sizes of eggs, the coefficient of determination (R2) of 0.9982, 0.9999, 0.9996, 0.9996 and 0.9994 for classified egg size classified 0, 1, 2, 3 and 4, respectively. This study shows that egg freshness can be determined through density without using water to test for water displacement or egg flotation which has future potential as a measuring system important for the poultry industry.Supakorn HarnsoongnoenNuananong JaroensukNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Supakorn Harnsoongnoen Nuananong Jaroensuk The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor
description	Abstract The water displacement and flotation are two of the most accurate and rapid methods for grading and assessing freshness of agricultural products based on density determination. However, these techniques are still not suitable for use in agricultural inspections of products such as eggs that absorb water which can be considered intrusive or destructive and can affect the result of measurements. Here we present a novel proposal for a method of non-destructive, non-invasive, low cost, simple and real—time monitoring of the grading and freshness assessment of eggs based on density detection using machine vision and a weighing sensor. This is the first proposal that divides egg freshness into intervals through density measurements. The machine vision system was developed for the measurement of external physical characteristics (length and breadth) of eggs for evaluating their volume. The weighing system was developed for the measurement of the weight of the egg. Egg weight and volume were used to calculate density for grading and egg freshness assessment. The proposed system could measure the weight, volume and density with an accuracy of 99.88%, 98.26% and 99.02%, respectively. The results showed that the weight and freshness of eggs stored at room temperature decreased with storage time. The relationship between density and percentage of freshness was linear for the all sizes of eggs, the coefficient of determination (R2) of 0.9982, 0.9999, 0.9996, 0.9996 and 0.9994 for classified egg size classified 0, 1, 2, 3 and 4, respectively. This study shows that egg freshness can be determined through density without using water to test for water displacement or egg flotation which has future potential as a measuring system important for the poultry industry.
format	article
author	Supakorn Harnsoongnoen Nuananong Jaroensuk
author_facet	Supakorn Harnsoongnoen Nuananong Jaroensuk
author_sort	Supakorn Harnsoongnoen
title	The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor
title_short	The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor
title_full	The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor
title_fullStr	The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor
title_full_unstemmed	The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor
title_sort	grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/464184a083ce4e07be6e052ff501dc0c
work_keys_str_mv	AT supakornharnsoongnoen thegradesandfreshnessassessmentofeggsbasedondensitydetectionusingmachinevisionandweighingsensor AT nuananongjaroensuk thegradesandfreshnessassessmentofeggsbasedondensitydetectionusingmachinevisionandweighingsensor AT supakornharnsoongnoen gradesandfreshnessassessmentofeggsbasedondensitydetectionusingmachinevisionandweighingsensor AT nuananongjaroensuk gradesandfreshnessassessmentofeggsbasedondensitydetectionusingmachinevisionandweighingsensor
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The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor

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