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...

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Dettagli Bibliografici
Autori principali:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
Natura:	Online
Lingua:	eng spa
Pubblicazione:	Universidad Pedagógica y Tecnológica de Colombia 2020
Soggetti:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
Accesso online:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853

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