Track: Machine Learning
Abstract
The paper presents the results of the evaluation of the milk sample classification process through the modeling of machine learning techniques. This research aimed to discriminate the presence or absence of adulterants, which allows the obtaining of dairy products suitable for human consumption. Also, accelerate and specify the inspection process of these samples. The relevance of the present study can be understood from the product under analysis: milk. This is mass consumption, especially in children. Therefore, it is considered relevant to demonstrate efficiently that quality products are provided to the population and this document is a contribution to the credibility of the integrity of dairy products.