Journal of Agricultural Big Data ›› 2021, Vol. 3 ›› Issue (2): 54-66.doi: 10.19788/j.issn.2096-6369.210206

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Functional Design and Development of the Big Data Center of the Whole Tea Industry Chain

Fuqiao Chen(), Chen Ling   

  1. Tea Research Institute, Chinese Academy of Agricultural Sciences, HangZhou 310008
  • Received:2021-04-10 Online:2021-06-26 Published:2021-08-31
  • Contact: Fuqiao Chen E-mail:fuqiao@vip.126.com

Abstract:

The National Whole Tea Industry Chain Big Data Project is one of the single-product big data platforms approved by China’s Ministry of Agriculture and Rural Affairs. The goal of its construction is to provide professional and authoritative data services for tea-related government departments, business entities, scientific research institutions, and the public. The platform is committed to supporting the tea industry’s scientific decision-making, improving the digitalization of the tea industry, and boosting the digital transformation of China’s tea industry. The data platform promotes industrial transformation and upgrading and provides a pilot experience for the construction of other digital agriculture projects. The center is designed and constructed around the tea industry in accordance with the principles of availability, usability, and ease of use. The platform conducts the collection, storage, and mining of tea industry data. Its functions are conducted in accordance with the ideas of integrated management and modular application. The platform has strengthened digital collection and application functions and developed a rich and diverse data collection function. At the same time, a relatively independent data mining and model system is developed on the basis of the specific application scenarios. Through preliminary construction and debugging, the center now has the ability to collect, analyze, and publish data. Consumption trend data, e-commerce data, and public opinion monitoring data are useful in decision-making, understanding the operating rules of the tea industry, formulating industrial policies, and guiding scientific decision-making. This article introduces the background, significance, positioning, and construction objectives of the National Whole Tea Industry Chain Big Data Pilot Project by drawing on the project construction plan and progress. It focuses on the technical route, main modules, and main functions of the project. It also analyzes the main features of the project and looks forward to the later construction plan.

Key words: the Whole Tea Industry Chain Big Data, data acquisition, data mining and decision making, function design, agricultural big data

CLC Number: 

  • TP311.1