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

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...

Полное описание

Библиографические подробности
Главные авторы:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
Формат:	Online
Язык:	eng spa
Опубликовано:	Universidad Pedagógica y Tecnológica de Colombia 2020
Предметы:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
Online-ссылка:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853

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