Journal of Agricultural Big Data >
Research on the Prediction of Enoki Mushroom Prices in Guizhou Province Based on Time Series Analysis Models
Received date: 2026-01-22
Accepted date: 2026-07-24
Online published: 2026-06-26
Accurate short-term price forecasting is crucial for the edible mushroom market in our country, and the fluctuation of common edible mushroom prices has a profound impact on the income and quality of life of mushroom farmers. This study takes the price of golden mushrooms in Guizhou Province as an example, applies the ARIMA model, AR model, and STL seasonal decomposition method, based on the historical price data of golden mushrooms in Guizhou Province, through exploratory data analysis, parameter optimization, and model verification, it deeply explores the impact of climate, season, and economic indicators on prices. The empirical analysis results show that the model built in this study can accurately predict the trend of edible mushroom prices, providing scientific basis for market supply and demand regulation and production planning, and promoting the healthy development of the edible mushroom industry and the increase of farmers' income.
FU FangJing , TANG BiRu , CUI Lei , LENG HaiYan . Research on the Prediction of Enoki Mushroom Prices in Guizhou Province Based on Time Series Analysis Models[J]. Journal of Agricultural Big Data, 2026 , 8(2) : 163 -173 . DOI: 10.19788/j.issn.2096-6369.000118
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