On the utilization of deep and ensemble learning to detect milk adulteration
Abstract Background Fraudulent milk adulteration is a dangerous practice in the dairy industry that is harmful to consumers since milk is one of the most consumed food products. Milk quality can be assessed by Fourier Transformed Infrared Spectroscopy (FTIR), a simple and fast method for obtaining i...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-07-01
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Series: | BioData Mining |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13040-019-0200-5 |