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...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
स्वरूप:	Online
भाषा:	eng spa
प्रकाशित:	Universidad Pedagógica y Tecnológica de Colombia 2020
विषय:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
ऑनलाइन पहुंच:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853