Utilization of Electrical Impedance Spectroscopy and Image Classification for Non-Invasive Early Assessment of Meat Freshness

Utilization of Electrical Impedance Spectroscopy and Image Classification for Non-Invasive Early Assessment of Meat Freshness

This study presents a system for assessing the freshness of meat with electrical impedance spectroscopy (EIS) in the frequency range of 125 Hz to 128 kHz combined with an image classifier for non-destructive and low-cost applications. The freshness standard is established by measuring the aerobic pl...

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Bibliographic Details
Main Authors: Sooin Huh, Hye-Jin Kim, Seungah Lee, Jinwoo Cho, Aera Jang, Joonsung Bae
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
freshness evaluation
electrical impedance spectroscopy (EIS)
machine learning
Online Access:https://www.mdpi.com/1424-8220/21/3/1001

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