Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster–Support Vector Machine (VC-SVM) Hybrid Models

Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster–Support Vector Machine (VC-SVM) Hybrid Models

Removing fat from whole milk and adding water to milk to increase its volume are among the most common food fraud practices that alter the characteristics of milk. Usually, deviations from the expected fat content can indicate adulteration. Infrared spectroscopy is a commonly used technique for dist...

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Bibliographic Details
Main Authors: Eleonora Buoio, Valentina Colombo, Elena Ighina, Francesco Tangorra
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Foods
Subjects:
near infrared spectroscopy (NIRS)
variable cluster
support vector machine
hybrid model
machine learning
milk classification
Online Access:https://www.mdpi.com/2304-8158/13/20/3279
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