基于大数据技术的粮食安全监测预警研究趋势与展望

Trends and Prospects of Food Security Monitoring and Early Warning Research Based on Big Data Technology

粮食安全对维护国家安全、增进民生福祉、应对风险挑战、促进经济稳定可持续发展具有重要作用,实施粮食安全战略是中国“十四五”规划的重要内容。通过从粮食安全监测、粮食安全预警、大数据技术在粮食安全领域的仿真模拟应用3个方面梳理国内外最新研究成果发现,现有研究缺乏在粮食安全方面的综合集成的系统模型、数据挖掘以及可视化技术。基于此,大数据技术的应用有利于构建多主体的粮食安全预警模型,有助于对粮食安全异常状态进行有效识别、建立粮食安全系统动态监测,从而提高粮食安全监测预警的应用效果和解释能力。最后,对未来基于大数据技术的粮食安全监测预警研究方向进行了展望。

Food security plays an important role in safeguarding national security,improving people’s well-being,coping with risks and challenges,and promoting stable and sustainable economic development,and implementing food security strategy is an important part of China’s 14th Five-Year Plan.Through reviewing the latest research results at home and abroad from food security monitoring,food security early warning and simulation application of big data technology in food security,it was found that there are lack of comprehensive integrated system model,data mining and visualization technology in food security in the existing research.Based on this,the application of big data technology is conducive to the construction of multi-agent food security early warning model,helpful to the effective identification of abnormal food security conditions,and to establish the dynamic monitoring of food security system,so as to improve the application effect and interpretation ability of food security monitoring and early warning.Finally,the future research direction of food security monitoring and early warning based on big data technology was forecasted.