TIME SERIES ARIMA BASED FORECASTING OF RICE PRICE

被引：0

作者：

Garov, Arun Kumar ^{[1
]}

Awasthi, A. K. ^{[1
]}

机构：

[1] Lovely Profess Univ, Dept Math, Jalandhar 144402, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2023年 / 19卷 / 01期

关键词：

Agriculture; Rice; Quantitybased time series; Forecasting; ARIMA model; MODEL;

D O I：

10.59467/IJASS.2023.19.285

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Rice crop is one of the most produced crops in India due to this the price of rice is also an important factor for buyers and suppliers (Farmers). In this article, the discussion, and methodology are used for time series forecasting of the Indian rice price with Autoregressive Integrated Moving Average Models. The model is based on historical data of Time series data for the Indian rice price in terms of Indian rupee per metric ton and the model applied for the computational forecasting analysis from June 2022 to December 2038 of the Indian rice price is ARIMA model with different possible orders which are suitable for the quantity-based data set. Evaluation of the model is done by MAPE and the process is carried out by SPSS.

引用

页码：285 / 303

页数：19

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