Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques

In this study, an electronic nose (E-nose) consisting of seven metal oxide semiconductor sensors is developed to identify milk sources (dairy farms) and to estimate the content of milk fat and protein which are the indicators of milk quality. The developed E-nose is a low cost and non-destructive de...

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Detalles Bibliográficos
Autores principales: Mu, Fanglin, Gu, Yu, Zhang, Jie, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435658/
https://www.ncbi.nlm.nih.gov/pubmed/32751425
http://dx.doi.org/10.3390/s20154238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435658/
https://www.ncbi.nlm.nih.gov/pubmed/32751425
http://dx.doi.org/10.3390/s20154238

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