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    Abstract
2013 (Vol. 5, Issue: 07)
Article Information:

Forecasting of Fresh Agricultural Products Demand Based on the ARIMA Model

Haoxiong Yang and Jing Hu
Corresponding Author:  Hoaxing Yang 

Key words:  ARIMA, fresh agricultural products, unsalable, , , ,
Vol. 5 , (07): 855-858
Submitted Accepted Published
February 23, 2013 April 04, 2013 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.
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  Cite this Reference:
Haoxiong Yang and Jing Hu, 2013. Forecasting of Fresh Agricultural Products Demand Based on the ARIMA Model.  Advance Journal of Food Science and Technology, 5(07): 855-858.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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