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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |