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...

書誌詳細
主要な著者:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
フォーマット:	Online
言語:	eng spa
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2020
主題:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853

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