eprintid: 8371
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/83/71
datestamp: 2023-11-09 16:20:16
lastmod: 2023-11-09 16:20:16
status_changed: 2023-11-09 16:12:29
type: conference_item
metadata_visibility: show
creators_name: Witjaksono, G.
creators_name: Hussin, N.H.F.B.M.
creators_name: Rabih, A.A.S.
creators_name: Alfa, S.
title: Real time chromametry measurement for food quality detection using mobile device
ispublished: pub
keywords: Mobile devices; Safety factor; Shellfish, Android platforms; Current technology; Food quality; Human eye; Mobile app; Quality and safeties; Real time; RGB colours, Food safety
note: cited By 6; Conference of 1st Nommensen International Conference on Technology and Engineering ; Conference Date: 11 July 2017 Through 12 July 2017; Conference Code:131115
abstract: Freshness of the food is the main factor in determining the quality and safety of the consumed food and hence consumers satisfaction. Current technologies for food quality determination depend on colour changing labels to indicate the freshness level, which is subjective to human eyes. The goal of this paper is to design and develop chromatic algorithm based on RGB colour reading and correlation with pH values for real time determination of freshness level of shrimp. The results show that the developed algorithm is able to measure, analyse and display the freshness level of food directly on the screen of a mobile app technology. The mobile app is developed on Android platform and is tested in the shrimp freshness range by stating whether it is "fresh, good or spoiled". © Published under licence by IOP Publishing Ltd.
date: 2017
publisher: Institute of Physics Publishing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037679407&doi=10.1088%2f1757-899X%2f237%2f1%2f012024&partnerID=40&md5=b3156c2087a38c0bba7881ad3775f4f6
id_number: 10.1088/1757-899X/237/1/012024
full_text_status: none
publication: IOP Conference Series: Materials Science and Engineering
volume: 237
number: 1
refereed: TRUE
issn: 17578981
citation:   Witjaksono, G. and Hussin, N.H.F.B.M. and Rabih, A.A.S. and Alfa, S.  (2017) Real time chromametry measurement for food quality detection using mobile device.  In: UNSPECIFIED.