Aplicación de algoritmo de machine learning para clasificar la calidad de un cacao fino aroma de exportación para la exportadora Cocholato S.A.

Abstract

In Ecuador, the production and export of fine or aromatic cocoa represents a wonderful opportunity in European markets due to the trend of consumers and their concern for environmental sustainability. The research project aims to analyze the application of machine learning algorithms to classify the quality of a fine aroma cocoa for export for the exporter Cocholato S.A., a family cocoa exporting company, located in the Rio Verde canton of the province of Esmeraldas, the classification of cocoa is essential to ensure the quality, flavor and consistency of cocoa products, as well as to facilitate marketing and compliance with quality standards in the industry. In addition, it can have a positive impact on cocoa farmers' incomes and on the sustainability of production. Whose methodology was based on Restudio with the RandomForest algorithm. The results are promising not only for the present but also for the future, suggesting that the study's findings have practical applications and long-term benefits for farmers.