Frontiers of Data and Computing ›› 2021, Vol. 3 ›› Issue (6): 1-14.

doi: 10.11871/jfdc.issn.2096-742X.2021.06.001

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Study on Multidimensional Data Driven Food Security Analysis and Intelligent Decision System

CHEN Wenjie1(),HU Zhengyin1,2,*(),HU Jing3,PANG Hongshen4(),HE Yujuan5()   

  1. 1. Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu, Sichuan 610041, China
    2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
    3. School of Economics and Management, South China Normal University, Guangzhou, Guangdong 510631, China
    4. Library, Shenzhen University, Shenzhen, Guangdong 518060, China
    5. School of Public Administration, Sichuan University, Chengdu, Sichuan 610065, China
  • Received:2021-10-22 Online:2021-12-20 Published:2022-01-26
  • Contact: HU Zhengyin;;;;


[Objective] In the era of big data, the field of food security has produced massive multidimensional data. These data are used for association analysis, multidimensional perspective, and knowledge mining, and can effectively support food security analysis and intelligent decision-making.[Methods] This paper systematically describes the system architecture, data schema, index system, and early warning model of food security analysis. Taking “Kunyue food security big data analysis system (KEDS)” as an example, this paper shows the services of food security structure analysis, factor analysis, balance analysis, security early warning and intelligent decision-making, etc. [Results] KEDS can provide fast, accurate, multi angle and personalized knowledge services for regional food security assessment, food security early warning and other decision-making analysis. [Conclusions] Multidimensional data driven food security analysis and intelligent decision-making system has great potential to analyze the state of food security in various regions every year, but it also needs to integrate new artificial intelligence models and methods to improve the efficiency and performance.

Key words: multidimensional data, food security, intelligent decision, big data analysis