Journal of Agricultural Big Data ›› 2020, Vol. 2 ›› Issue (1): 29-35.doi: 10.19788/j.issn.2096-6369.200104

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Big Data Applications and Construction for the Shandong Potato Industry

Jia Ruan Huaijun Feng Wenjie Zhao()   

  1. S&T Information Technology Institute, Jinan 250100,China
  • Received:2019-09-15 Online:2020-03-26 Published:2020-06-02

Abstract:

This paper analyzes the existing data for the Shandong potato industry to understand its production, circulation, storage, and processing characteristics, among other elements. According to the data analysis of production in the Shandong potato industry, potatoes are planted in spring and autumn, with Tengzhou and Jiaozhou as the main planting areas. According to the data analysis of circulation, the market price fluctuation shows the rule of “three years/one cycle,” with outstanding and refined management benefits. Potato exports from Shandong are the highest among potato exports in China. According to the data analysis of storage, the potato storage capacity can still meet local needs and cold storage constructions have been developed to include more modern and constant temperature storage facilities. According to the data analysis of processing, improvement is still needed in processing capacity. This paper outlines the construction of a big data platform for a single variety of Shandong potato. Modern precision agriculture in production will develop a measurement system that integrates all production elements and spaces will be constructed to guide intelligent production. In the circulation element, online e-commerce trading and safety traceability systems for potatoes will be constructed in addition to developing the quality of agricultural products. For the storage element, a potato refrigeration–packaging industry will be promoted, including the accelerated establishment of cold storage, warehouse storage, and logistics alliances. In the processing element, a staple potato food processing industry will be developed alongside the promotion of the cluster development of processing enterprises. We will effectively strengthen top-level designs, consolidate and integrate research into key technologies for big data, and promote data sharing, opening up, development, and utilization. By speeding up the adjustment of regional layouts, preventing excessive fluctuation of potato prices, and strengthening the information analysis and early warning for the whole industry chain, we can better lead the sustainable and high-quality development of the Shandong potato industry.

Key words: big data, Shandong potato, industry, application, construction, agricultural big data, industry chain

CLC Number: 

  • G203