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.
Highlights
The rapid development of new information technologies, such as big data, Internet of things and artificial intelligence, has effectively promoted the pace of modern agricultural construction [Li (2012)]
The big data platform of garlic industry chain adopts the framework of platform + system, which realizes the collection of all the data of garlic planting, circulation and sales, which lays the foundation for data mining and analysis
In order to solve the problem that the sources of garlic planting area are different, the big data platform of garlic industry chain has realized the precision management of garlic planting area in China
Summary
The rapid development of new information technologies, such as big data, Internet of things and artificial intelligence, has effectively promoted the pace of modern agricultural construction [Li (2012)]. Wang et al [Wang, Zhao and Zhao (2014)] based on B/S model, using Spring+Struts+Hibernate framework, based on the design idea of system development of open source projects, through the middleware embedded Eviews and Easyfit, a short-term prediction system of agricultural products price was built up. With the emergence of new technologies such as Internet of things, big data and artificial intelligence, the construction of big data in agricultural products has been developing step by step It provides technical support for the macro management and decision making ability of the industry and the accurate price prediction. To realize the tracking and monitoring of the whole garlic industry chain, complete the data collection and storage, analyze the influence factors of garlic price fluctuation and the characteristics of garlic price fluctuation, accurately predict the trend of garlic price operation, and make the timely forecast service report on garlic price fluctuation is an effective way to guarantee the stable development of garlic industry
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