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...

全面介绍

书目详细资料

Main Authors:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
格式:	Online
语言:	eng spa
出版:	Universidad Pedagógica y Tecnológica de Colombia 2020
主题:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
在线阅读:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853