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Prediction and Analysis of Rice Production and Yields Using Ensemble Learning Techniques

This research focuses on predicting and analyzing rice production and yield throughout the world using ensemble learning techniques. The study applies and compares three methods: linear regression, ARIMA, and ensemble learning, to predict rice harvest yields. The results show that ensemble learning...

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Principais autores: Yudha Islami Sulistya, Aina Musdholifah, Chrissandy Sapuletea, Elsi Titasari Br Bangun, Hizbullah Hamda, Sarah Anjani, Abednego Dwi Septiadi
Formato: Artigo
Idioma:Inglês
Publicado em: Fakultas Ilmu Komputer UMI 2024-08-01
coleção:Ilkom Jurnal Ilmiah
Assuntos:
agricultural efficiency
arima
ensemble learning
prediction
rice production
rice yield
Acesso em linha:https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1948
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