Application of machine learning techniques to predict literacy levels in artificial intelligence

Authors

  • Douglas Andrés Verduga-Alcívar Universidad Técnica de Manabí
  • Eldis Román-Cao Universidad Técnica de Manabí
  • Neyfe Sablón Cossío Universidad Técnica de Manabí

Abstract

An understanding of the lignocellulosic biomass processes is essential when selecting the fractionation routes and the possibilities of obtaining new products, by-products, and bioenergy derived from the selected biomass. The objective of the article is: to identify the opportunities for obtaining lignocellulosic biomass from coffee in the province of Chimborazo within the framework of the Circular Economy. The varieties and quantities of cultivated coffee were determined, and the sites and characteristics of the places where coffee is grown in Ecuador and in the province of Chimborazo were identified. The types, amounts of waste, and by-products from the industrialization of coffee were determined. It was found that as a result of the industrialization of coffee, large amounts of waste are generated in the form of parchment, pulp, and grounds.

Author Biography

Douglas Andrés Verduga-Alcívar, Universidad Técnica de Manabí

Douglas Andrés Verduga-Alcívar

Universidad Técnica de Manabí, Ecuador, douglas.verduga@utm.edu.ec

Published

2025-10-13

How to Cite

Verduga-Alcívar, D. A., Román-Cao , E., & Sablón Cossío, N. (2025). Application of machine learning techniques to predict literacy levels in artificial intelligence. Industrial Engineering (Ingeniería Industrial), 46, 1–14. Retrieved from https://rii.cujae.edu.cu/index.php/revistaind/article/view/1325