DEVELOPING A LOW COST ELECTRONIC NOSE FOR SPOILAGE ANALYSIS OF GROUND BEEF

DEVELOPING A LOW COST ELECTRONIC NOSE FOR SPOILAGE ANALYSIS OF GROUND BEEF

A low-cost, easy-to-use e-nose is developed to detect the spoilage of ground meat. E-nose consists of hardware, software and data processing components. The main elements of hardware component are gas sensors sensitive to hydrogen sulfide (H2S) and ammonia (NH3). Using MIT App Inventor 2 an Android...

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Bibliographic Details
Main Authors: Simge Özalp, Kemal Eren Kızıl
Format: Article
Language:English
Published: Bursa Uludag University 2023-04-01
Series:Uludağ University Journal of The Faculty of Engineering
Subjects:
food safety
artificial intelligence
machine learning
logistic regression
electronic nose
gıda güvenliği
yapay zeka
makine öğrenmesi
lojistik regresyon
elektronik burun
Online Access:https://dergipark.org.tr/tr/download/article-file/2450490

Internet

https://dergipark.org.tr/tr/download/article-file/2450490

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