# Forecasting Rice Production in Indonesia using Regression Techniques: A Comparative Analysis of Support Vector Machine, Linear Regression, and XGBoost Regression

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/forecasting-rice-production-in-indonesia-using-regression-techniques-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Erio Yoshino,Felix Indra Kurniadi,Budi Juarto |
| Citations | 6 |
| DOI | 10.1109/iciss59129.2023.10291271 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4387982469 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Budi Juarto](https://scholariq.org/researchers/budi-juarto/)

## Paper primary topic

- [Data Mining and Machine Learning Applications](https://scholariq.org/topics/data-mining-and-machine-learning-applications/)

## Paper topics

- [Data Mining and Machine Learning Applications](https://scholariq.org/topics/data-mining-and-machine-learning-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.