Earticle

초록

영어

The Web crawler technology enables timely and accurate collection of agricultural products price among 214 large-scale wholesale markets in China, which brings enormous convenient for a better observation of agricultural products future price trend. This article, which is based on market prices of various agricultural products collected by web crawler technology, develops quantitative analysis predictive models of wholesale prices. The predictive model of cucumber prices presents regularity of ARIMA (3,1,2) model. By comparing the relative errors between predicted and actual values, we find that ARIMA (3,1,2) model can provide high accuracy of short-term prediction for cucumber prices in Shandong Shouguang wholesale market.

목차

Abstract
 1. Introduction
 2. Price Collection Timely by using Internet Technology
 3. Empirical Analysis and Modeling Price of Agriculture Produce
  3.1. Model Specification & Data Sources
  3.2. Model Building
  3.3. Time Series Forecast and Test
 4. Conclusions and Suggestions
 References

키워드

저자

• Wang Xin [ Notional Engineering Research Center for Agricultural Product Logistics, 250103, Ji'nan, China, Shandong Institute of Commerce and Technology, 250103, Ji'nan, China ]
• Wang Can [ Shandong Institute of Commerce and Technology, 250103, Ji'nan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605