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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
Format:	Online
Język:	eng spa
Wydane:	Universidad Pedagógica y Tecnológica de Colombia 2020
Hasła przedmiotowe:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
Dostęp online:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853

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