Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model

For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health and the economic value of the product. One of the fundamental properties from which the quality of the food can be derived is the smell of the...

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Bibliographic Details
Main Authors: Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
classifier
single plurality voting system
ensemble classifier
machine learning
beef cut quality prediction
Online Access:https://www.mdpi.com/1424-8220/20/11/3173

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