Comparison Between Machine Learning Models for Yield Forecast in Cocoa Crops in Santander, Colombia

The identification of influencing factors in crop yield (kg·ha-1) provides essential information for decision-making processes related to the prediction and improvement of productivity, which gives farmers the opportunity to increase their income. The current study investigates the application of mu...

Full description

Bibliographic Details
Main Authors: Henry Lamos-Díaz, Ph. D., David Esteban Puentes-Garzón, M.Sc., Diego Alejandro Zarate-Caicedo, Ph. D.
Format: Article
Language:English
Published: Universidad Pedagógica y Tecnológica de Colombia 2020-05-01
Series:Revista Facultad de Ingeniería
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853