Vol.58, No.3, 2019, pp.795-808, doi:10.32604/cmc.2019.03795
OPEN ACCESS
ARTICLE
Research on the Law of Garlic Price Based on Big Data
  • Feng Guo1, Pingzeng Liu1,*, Chao Zhang1, Weijie Chen1, Wei Han2, Wanming Ren4, Yong Zheng4, Jianrui Ding3
College of Information Science and Engineering, Shandong Agricultural University, Tai’an, 271000, China.
Career Technical Colleges, Laiwu, 271100, China.
Department of Computer Science, Utah State University, Logan, USA.
Shandong Provincial Department of Agriculture Information Center, 250013, Jinan, China.
* Corresponding Author: Pingzeng Liu. Email: .
Abstract
In view of the frequent fluctuation of garlic price under the market economy and the current situation of garlic price, the fluctuation of garlic price in the circulation link of garlic industry chain is analyzed, and the application mode of multidisciplinary in the agricultural industry is discussed. On the basis of the big data platform of garlic industry chain, this paper constructs a Garch model to analyze the fluctuation law of garlic price in the circulation link and provides the garlic industry service from the angle of price fluctuation combined with the economic analysis. The research shows that the average price rate of the price of garlic shows “agglomeration” and cyclical phenomenon, which has the characteristics of fragility, left and a non-normal distribution and the fitting value of the GARCH model is very close to the true value. Finally, it looks into the industrial service form from the perspective of garlic price fluctuation.
Keywords
Big data, Big data analysis, Garch, normality, ARCH, industrial service.
Cite This Article
F. . Guo, P. . Liu, C. . Zhang, W. . Chen, W. . Han et al., "Research on the law of garlic price based on big data," Computers, Materials & Continua, vol. 58, no.3, pp. 795–808, 2019.
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