Machine Learning Enabled Food Contamination Detection Using RFID and Internet of Things System

This paper presents an approach based on radio frequency identification (RFID) and machine learning for contamination sensing of food items and drinks such as soft drinks, alcohol, baby formula milk, etc. We employ sticker-type inkjet printed ultra-high-frequency (UHF) RFID tags for contamination se...

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Bibliographic Details
Main Authors: Abubakar Sharif, Qammer H. Abbasi, Kamran Arshad, Shuja Ansari, Muhammad Zulfiqar Ali, Jaspreet Kaur, Hasan T. Abbas, Muhammad Ali Imran
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/10/4/63