Staff View: Ripeness assessment and quality control of mango gold susu using an e-nose system

Ripeness assessment and quality control of mango gold susu using an e-nose system

In this paper, the development and implementation of an electronic nose (e-nose) system utilizing the MQ sensor series from MOS-type gas sensors to classify mango gold susu ripeness is presented. The system's performance was enhanced through machine learning techniques, including Principal Comp...

Full description

Saved in:

Bibliographic Details
Main Authors:	Fakhrul Anwar, Nur Irdina, Za'bah, Nor Farahidah, Md Ralib @ Md Raghib, Aliza 'Aini
Format:	Article
Language:	English
Published:	AlamBiblio Publishers 2024
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/114717/1/114717_Ripeness%20assessment%20and%20quality%20control.pdf http://irep.iium.edu.my/114717/ https://alambiblio.com/ojs/index.php/ajoeee/article/view/65
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.iium.irep.114717
record_format	dspace
spelling	my.iium.irep.1147172024-09-30T02:19:17Z http://irep.iium.edu.my/114717/ Ripeness assessment and quality control of mango gold susu using an e-nose system Fakhrul Anwar, Nur Irdina Za'bah, Nor Farahidah Md Ralib @ Md Raghib, Aliza 'Aini TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices In this paper, the development and implementation of an electronic nose (e-nose) system utilizing the MQ sensor series from MOS-type gas sensors to classify mango gold susu ripeness is presented. The system's performance was enhanced through machine learning techniques, including Principal Component Analysis (PCA) for data dimensionality reduction and Support Vector Machine (SVM) for classification. The SVM classifier demonstrated high accuracy, particularly in identifying unripe and overripe mangoes, with accuracy scores of 1.00 and 0.99, respectively. A comprehensive database of volatile organic compound (VOC) profiles was established, leading to a precise prediction model for assessing the different stages of ripeness based on the mango’s VOC profile. AlamBiblio Publishers 2024-09-27 Article PeerReviewed application/pdf en http://irep.iium.edu.my/114717/1/114717_Ripeness%20assessment%20and%20quality%20control.pdf Fakhrul Anwar, Nur Irdina and Za'bah, Nor Farahidah and Md Ralib @ Md Raghib, Aliza 'Aini (2024) Ripeness assessment and quality control of mango gold susu using an e-nose system. Asian Journal of Electrical and Electronic Engineering, 4 (2). pp. 35-42. E-ISSN 2785-8189 https://alambiblio.com/ojs/index.php/ajoeee/article/view/65 10.69955/ajoeee.24.v4i2.65
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Fakhrul Anwar, Nur Irdina Za'bah, Nor Farahidah Md Ralib @ Md Raghib, Aliza 'Aini Ripeness assessment and quality control of mango gold susu using an e-nose system
description	In this paper, the development and implementation of an electronic nose (e-nose) system utilizing the MQ sensor series from MOS-type gas sensors to classify mango gold susu ripeness is presented. The system's performance was enhanced through machine learning techniques, including Principal Component Analysis (PCA) for data dimensionality reduction and Support Vector Machine (SVM) for classification. The SVM classifier demonstrated high accuracy, particularly in identifying unripe and overripe mangoes, with accuracy scores of 1.00 and 0.99, respectively. A comprehensive database of volatile organic compound (VOC) profiles was established, leading to a precise prediction model for assessing the different stages of ripeness based on the mango’s VOC profile.
format	Article
author	Fakhrul Anwar, Nur Irdina Za'bah, Nor Farahidah Md Ralib @ Md Raghib, Aliza 'Aini
author_facet	Fakhrul Anwar, Nur Irdina Za'bah, Nor Farahidah Md Ralib @ Md Raghib, Aliza 'Aini
author_sort	Fakhrul Anwar, Nur Irdina
title	Ripeness assessment and quality control of mango gold susu using an e-nose system
title_short	Ripeness assessment and quality control of mango gold susu using an e-nose system
title_full	Ripeness assessment and quality control of mango gold susu using an e-nose system
title_fullStr	Ripeness assessment and quality control of mango gold susu using an e-nose system
title_full_unstemmed	Ripeness assessment and quality control of mango gold susu using an e-nose system
title_sort	ripeness assessment and quality control of mango gold susu using an e-nose system
publisher	AlamBiblio Publishers
publishDate	2024
url	http://irep.iium.edu.my/114717/1/114717_Ripeness%20assessment%20and%20quality%20control.pdf http://irep.iium.edu.my/114717/ https://alambiblio.com/ojs/index.php/ajoeee/article/view/65
_version_	1811679670515531776
score	13.211869

Ripeness assessment and quality control of mango gold susu using an e-nose system

Similar Items