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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
Aineistotyyppi:	Online
Kieli:	eng spa
Julkaistu:	Universidad Pedagógica y Tecnológica de Colombia 2020
Aiheet:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
Linkit:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853