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- Title
Calidad de las materias primas por medio de minería de datos: aplicación en la industria de alimentos.
- Authors
Niño, Jhon F.; Arteaga, María J.; Castrillón, Omar D.
- Abstract
This research study applies the J48 algorithm (Weka platform) to determine the most influential independent variables in the quality process of the following fruits: blackberry, orange, passion fruit, lemon, strawberry, lulo, mango, feijoa, and peach. This analysis is based on a database of 211 records, a dependent variable (quality), and a set of 10 independent variables: raw material type, °Brix, pH, acidity, color, smell, flavor, maturity, washed pH, and washed color. The results show with an accuracy of 93% that the most influential variables are: taste, color, and smell. However, if these variables are suppressed, it is revealed that the variables pH, °Brix, and product can predict the dependent quality variable with an accuracy greater than 93%. It is concluded that there are three organoleptic properties (taste, color, and smell) that are associated with fruit product quality.
- Subjects
STRAWBERRIES; PASSION fruit; SMELL; FRUIT quality; PRODUCT quality; INDEPENDENT variables; MANGO; DATABASES; PEACH; ORANGES
- Publication
Información Tecnológica, 2023, Vol 34, Issue 3, p69
- ISSN
0716-8756
- Publication type
Article
- DOI
10.4067/S0718-07642023000300069