Vol.58, No.1, 2019, pp.229-248, doi:10.32604/cmc.2019.03743
OPEN ACCESS
ARTICLE
Development and Application of Big Data Platform for Garlic Industry Chain
  • Weijie Chen1, Guo Feng1, Chao Zhang1, Pingzeng Liu1,*, Wanming Ren2, Ning Cao3, Jianrui Ding4
Shandong Agricultural University, Tai’an, 271000, China.
Shandong Provincial Agricultural Information Center, Ji’nan, 250013, China.
College of Information Engineering, Qingdao Binhai University, Qingdao , 266000, China.
Department of Computer Science, Utah State University, Logan, USA.
* Corresponding Author: Pingzeng Liu. Email: .
Abstract
In order to effectively solve the problems which affect the stable and healthy development of garlic industry, such as the uncertainty of the planting scale and production data, the influence factors of price fluctuation is difficult to be accurately analyzed, the difficult to predict the trend of price change, the uncertainty of the market concentration, and the difficulty of the short-term price prediction etc. the big data platform of the garlic industry chain has been developed. Combined with a variety of data acquisition technology, the information collection of influencing factors for garlic industry chain is realized. Based on the construction of the big data technology platform, the real-time synchronous acquisition, efficient storage and analysis of the planting, market, storage, processing, export and logistics information in five provinces and seven counties are realized. The application of the big data platform for garlic industry chain has realized the accurate acquisition of garlic planting area, the price and trend of market circulation and the information of export information, analyzed the fluctuation regulation of garlic price, and also realized the short-term precision prediction of garlic price.
Keywords
Garlic industry chain, agricultural big data, planting area, price fluctuation regulation, price prediction.
Cite This Article
W. . Chen, G. . Feng, C. . Zhang, P. . Liu, W. . Ren et al., "Development and application of big data platform for garlic industry chain," Computers, Materials & Continua, vol. 58, no.1, pp. 229–248, 2019.
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