›› 2014, Vol. 16 ›› Issue (5): 14-20.DOI: 10.13304/j.nykjdb.2014.345

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Agricultural Big Data and Monitoring and Early Warning of Agricultural Products

XU Shi\|wei   

  1. (Key Laboratory of Agro\|information Services Technology, Ministry of Agriculture, Agricultural Information Institute,
    Chinese Academy of Agricultural Sciences|Key Laboratory of Intelligent Agricultural Early Warning Technology and
    System of Chinese Academy of Agricultural Sciences, CAAS, Beijing 100081, China)
  • Online:2014-10-15 Published:2014-10-14

农业大数据与农产品监测预警

许世卫   

  1. (中国农业科学院农业信息研究所, 农业部农业信息服务技术重点实验室|中国农业科学院智能化农业
    预警技术与系统重点开放实验室, 北京 100081)
  • 作者简介:许世卫,研究员|博士|博士生导师|研究方向为农业信息分析。E\|mail:xushiwei@caas.cn
  • 基金资助:

    农业部948项目(2014\|S2);农业部农业信息预警专项资助。

Abstract:

With the outbreak of mass information, agriculture has stepped into an era of big data. Under the impetus of the big data, fundamental changes have taken place between the way of thinking and working paradigm about agricultural monitoring and early warning, the analytic target and research contents become more tessellate, data acquisition become more convenient, information processing technology become more intelligent, information expression and service technology are more accurate. With the wide utilization of big data technology in the field of monitoring and early warning for agricultural products,building agricultural benchmark data,studying agricultural product information real\|time acquisition technology, constructing complex intelligent model analysis system, and establishing visual warning service platform, etc. become the important trend for agricultural product monitoring and early warning development in the future. In the era of big data, agricultural product monitoring and early warning work should form a big mind, carry out big cooperation and welcome big challenge.

Key words: agricultural big data, monitoring and early warning of agricultural products, reform, development

摘要:

随着海量信息的爆发,农业跨步迈入大数据时代。在大数据的推动下,农业监测预警工作的思维方式和工作范式发生了根本性的变化,农产品监测预警的分析对象和研究内容更加细化、数据获取技术更加便捷、信息处理技术更加智能、信息表达和服务技术更加精准。伴随大数据技术在农产品监测预警领域的广泛应用,构建农业基准数据、开展农产品信息实时化采集技术研究、构建复杂智能模型分析系统、建立可视化的预警服务平台等将成为未来农产品监测预警发展的重要趋势。在大数据时代,农产品监测预警工作应该形成大思维,开展大合作,迎接大挑战。

关键词: 农业大数据;农产品监测预警;变革;发展

CLC Number: