期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：11
页码：452-455
出版社：Science and Information Society (SAI)
摘要：Currently in Peru, there is a per capita milk
consumption of 87 kg per year; however, the Food and
Agriculture Organization of the United Nations (FAO)
recommends a consumption of 120 kg per person; the industry,
when the milk is acquired from small livestock suppliers, does
not analyze the milk before buying it, which there is a high risk
that the milk is adulterated with water, in this sense, it proposes
an alternative way of preliminary detection of the presence of
water in milk, only through a laser a photograph, which greatly
reduces the costs of milk analysis. Milk contains different
nutrients, vitamins and minerals, which are beneficial for people,
so it is very known if it is adulterated or not, that way to prevent
diseases. In this document, the reader will read an alternative to
the existing methods for the analysis of milk, for the presented
method the application of Matlab Classification Learner and the
fine K-Nearest Neighbors (KNN) algorithm were used, in which a
success rate of 95.4% was obtained.
