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...

সম্পূর্ণ বিবরণ

গ্রন্থ-পঞ্জীর বিবরন

প্রধান লেখক:	Lamos-Díaz, Henry, Puentes-Garzón, David Esteban, Zarate-Caicedo, Diego Alejandro
বিন্যাস:	Online
ভাষা:	eng spa
প্রকাশিত:	Universidad Pedagógica y Tecnológica de Colombia 2020
বিষয়গুলি:	agricultural-yield agroforestry-system cocoa machine-learning prediction productivity aprendizaje-automático cacao predicción productividad rendimientos-agrícolas sistemas-agroforestales
অনলাইন ব্যবহার করুন:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853