RNN and GNN based prediction of agricultural prices with multivariate time series and its short-term fluctuations smoothing effect

RNN and GNN based prediction of agricultural prices with multivariate time series and its short-term fluctuations smoothing effect

Abstract In this study, we investigate appropriate machine learning methods for predicting agricultural commodity prices. Since environmental factors including weather affect price fluctuations of agricultural commodities, we constructed a multivariate time series dataset combining wholesale prices...

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Bibliographic Details
Main Authors: Youngho Min, Young Rock Kim, YunKyong Hyon, Taeyoung Ha, Sunju Lee, Jinwoo Hyun, Mi Ra Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Multivariate time series
Agricultural commodity
Machine learning
Prediction model
Online Access:https://doi.org/10.1038/s41598-025-97724-7
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https://doi.org/10.1038/s41598-025-97724-7

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