Research Article | OPEN ACCESS
Forecasting of Fresh Agricultural Products Demand Based on the ARIMA Model
1Haoxiong Yang and 2Jing Hu
1School of Business
2School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, P.R. China
Advance Journal of Food Science and Technology 2013 7:855-858
Received: February 23, 2013 | Accepted: April 04, 2013 | Published: July 05, 2013
Abstract
The price of fresh agricultural products changes up and down recently. In order to accurately forecast the agricultural precuts demand, a forecasting model based on ARIMA is provided in this study. It can be found that asymmetric information and unbalance about supply and demand exist in the market through analyzing the reasons. The ARIMA model for fresh agricultural products can forecast the demand in order to providing some guides for farmers. The results show that the predictive value are in good condition when compare with the actual data. Then this model is available.
Keywords:
ARIMA, fresh agricultural products, unsalable,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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