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Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity

Aroma is one of the main attributes that consumers consider when appreciating and selecting a coffee; hence it is considered an important quality trait. However, the most common methods to assess aroma are based on expensive equipment or human senses through sensory evaluation, which is time-consumi...

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Podrobná bibliografie
Vydáno v:Sensors (Basel)
Hlavní autoři: Gonzalez Viejo, Claudia, Tongson, Eden, Fuentes, Sigfredo
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2021
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7998415/
https://ncbi.nlm.nih.gov/pubmed/33809248
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21062016
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