On the utilization of deep and ensemble learning to detect milk adulteration

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...

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Bibliographic Details
Main Authors: Habib Asseiss Neto, Wanessa L.F. Tavares, Daniela C.S.Z. Ribeiro, Ronnie C.O. Alves, Leorges M. Fonseca, Sérgio V.A. Campos
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BioData Mining
Subjects:
Classification
Machine learning
Deep learning
Ensemble learning
Infrared spectroscopy
Milk
Online Access:http://link.springer.com/article/10.1186/s13040-019-0200-5

Internet

http://link.springer.com/article/10.1186/s13040-019-0200-5

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