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A review: milk spoilage and staleness detection approaches, technique, and technology trends

Milk is one of the primary food nutrition consumed by almost all countries globally. The milk is commonly packed with several containers such as carton, can, glass bottle, and pet bottle. The milk, however, has limited time for the buyer to consume it, as it has an expiring date. The expired date...

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Main Authors: Hashim, Nik Mohd Zarifie, Mohd Yusoff, Salizawati, Jaafar, Anuar, Musa, Muhammad Muhayudeen, Sahaimi, Sazly Azizuddin, Abd Karim, Mohd Khairuddin, Mat Noor, Nur Anis Izzati
Format: Article
Language:English
Published: International Journal of Scientific and Research Publications 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26477/2/IJSRP-P12419.PDF
http://eprints.utem.edu.my/id/eprint/26477/
https://www.ijsrp.org/research-paper-0422.php?rp=P12412114
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spelling my.utem.eprints.264772023-02-28T08:02:58Z http://eprints.utem.edu.my/id/eprint/26477/ A review: milk spoilage and staleness detection approaches, technique, and technology trends Hashim, Nik Mohd Zarifie Mohd Yusoff, Salizawati Jaafar, Anuar Musa, Muhammad Muhayudeen Sahaimi, Sazly Azizuddin Abd Karim, Mohd Khairuddin Mat Noor, Nur Anis Izzati Milk is one of the primary food nutrition consumed by almost all countries globally. The milk is commonly packed with several containers such as carton, can, glass bottle, and pet bottle. The milk, however, has limited time for the buyer to consume it, as it has an expiring date. The expired date could be unclear and uncertain as the milk could be spoiled by itself according to how we kept it after the first container was opened. To encounter the milk spoilage and staleness problems, many research works were proposed from 1949 until recent for having a sound system on detecting the milk. Since this food safety and quality is one of the crucial areas, this paper analyzes the trends and approaches towards milk spoilage and staleness detection systematically. The category of the detection system, sensor technology, ingredient technology, image processing technique, and deep learning technique will be discussed technically. The paper also provides a brief comment and idea on the existing methods conducted by the previous researcher in their work. Finally, this paper will conclude the milk spoilage and staleness detection system trends and predict what could happen in a few years facing the industrial revolution 4.0. International Journal of Scientific and Research Publications 2022-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26477/2/IJSRP-P12419.PDF Hashim, Nik Mohd Zarifie and Mohd Yusoff, Salizawati and Jaafar, Anuar and Musa, Muhammad Muhayudeen and Sahaimi, Sazly Azizuddin and Abd Karim, Mohd Khairuddin and Mat Noor, Nur Anis Izzati (2022) A review: milk spoilage and staleness detection approaches, technique, and technology trends. International Journal of Scientific and Research Publications, 12 (4). pp. 130-135. ISSN 2250-3153 https://www.ijsrp.org/research-paper-0422.php?rp=P12412114 10.29322/IJSRP.12.04.2022.p124XX
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Milk is one of the primary food nutrition consumed by almost all countries globally. The milk is commonly packed with several containers such as carton, can, glass bottle, and pet bottle. The milk, however, has limited time for the buyer to consume it, as it has an expiring date. The expired date could be unclear and uncertain as the milk could be spoiled by itself according to how we kept it after the first container was opened. To encounter the milk spoilage and staleness problems, many research works were proposed from 1949 until recent for having a sound system on detecting the milk. Since this food safety and quality is one of the crucial areas, this paper analyzes the trends and approaches towards milk spoilage and staleness detection systematically. The category of the detection system, sensor technology, ingredient technology, image processing technique, and deep learning technique will be discussed technically. The paper also provides a brief comment and idea on the existing methods conducted by the previous researcher in their work. Finally, this paper will conclude the milk spoilage and staleness detection system trends and predict what could happen in a few years facing the industrial revolution 4.0.
format Article
author Hashim, Nik Mohd Zarifie
Mohd Yusoff, Salizawati
Jaafar, Anuar
Musa, Muhammad Muhayudeen
Sahaimi, Sazly Azizuddin
Abd Karim, Mohd Khairuddin
Mat Noor, Nur Anis Izzati
spellingShingle Hashim, Nik Mohd Zarifie
Mohd Yusoff, Salizawati
Jaafar, Anuar
Musa, Muhammad Muhayudeen
Sahaimi, Sazly Azizuddin
Abd Karim, Mohd Khairuddin
Mat Noor, Nur Anis Izzati
A review: milk spoilage and staleness detection approaches, technique, and technology trends
author_facet Hashim, Nik Mohd Zarifie
Mohd Yusoff, Salizawati
Jaafar, Anuar
Musa, Muhammad Muhayudeen
Sahaimi, Sazly Azizuddin
Abd Karim, Mohd Khairuddin
Mat Noor, Nur Anis Izzati
author_sort Hashim, Nik Mohd Zarifie
title A review: milk spoilage and staleness detection approaches, technique, and technology trends
title_short A review: milk spoilage and staleness detection approaches, technique, and technology trends
title_full A review: milk spoilage and staleness detection approaches, technique, and technology trends
title_fullStr A review: milk spoilage and staleness detection approaches, technique, and technology trends
title_full_unstemmed A review: milk spoilage and staleness detection approaches, technique, and technology trends
title_sort review: milk spoilage and staleness detection approaches, technique, and technology trends
publisher International Journal of Scientific and Research Publications
publishDate 2022
url http://eprints.utem.edu.my/id/eprint/26477/2/IJSRP-P12419.PDF
http://eprints.utem.edu.my/id/eprint/26477/
https://www.ijsrp.org/research-paper-0422.php?rp=P12412114
_version_ 1759693073557749760
score 13.211869

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