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Title: | Forecasting The Quarterly Production Of Rice And Corn In Davao del Sur: A Time Series Analysis |
Authors: | Caquilala, Cedric M. |
Keywords: | Time series analysis SARIMA Bayesian SARIMA Holt-Winters Long Short-Term Memory (LSTM) |
Issue Date: | Jul-2023 |
Abstract: | Time Series Analysis is a valuable tool in making informed decisions. The Philippines would greatly benefit in using this for crop production, especially rice and corn, since the country is a large producer and consumer said products. The study aims to develop a system that predicts rice and corn production using datasets from Davao del Sur using SARIMA, Bayesian SARIMA, Holt-Winters, and LSTM. The obtained models provide, at the lowest, an 8.42% MAPE for rice and 19.87% MAPE for corn. In addition, the system developed allows the user to develop their own models. |
URI: | http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/2684 |
Appears in Collections: | Computer Science SP |
Files in This Item:
File | Description | Size | Format | |
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CD-CS108.pdf | 1.85 MB | Adobe PDF | ![]() View/Open |
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