%0 Journal Article
%T Estimation of the Alcoholic Degree in Beers through Near Infrared Spectrometry Using Machine Learning£¿
%J Proceedings | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/proceedings2019021048
%X It is a fact that, non-destructive measurement technologies have gain a lot of attention over the years. Among those technologies, NIR technology is the one which allows the analysis of electromagnetic spectrum looking for carbon-link interactions. This technology analyzes the electromagnetic spectrum in the band between 700 nm and 2500 nm, a band very close to the visible spectrum. Traditionally, the devices used to measure are utterly expensive and enormously bulky. That is why this project was focused on a portable spectrophotometer to make measures. This device is smaller and cheaper than the common spectrophotometer, although at the cost of a lower resolution. In this work, that device in combination with the use of machine learning was used to detect if a beer contains alcohol or it can be labeled as non-alcoholic drink
%U https://www.mdpi.com/2504-3900/21/1/48