Forecasting Rice Production in Northern Samar: A Multi-Model Analysis Using Cyclone Frequency and Harvested Area as Predictors
Authors: Kyle Arthur P. Sabilao, Elvin L. Jarito, PhD
Journal: Global Journal of Engineering and Technology Review (GJETR)
Published: 2026-03-13 · Volume 2, Issue 03, pp. 74-82
DOI: 10.65150/EP-gjetr/V2E3/2026-01
Abstract
This study presents a multi-model forecasting approach for rice production in Northern Samar, Philippines, utilizing cyclone frequency and harvested area as key predictors. The research applies statistical and machine learning models to evaluate production trends and forecast future yields under varying climatic conditions.
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