数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (2): 101-110.

doi: 10.11871/jfdc.issn.2096-742X.2020.02.008

所属专题： “数据分析技术与应用”专刊

• 专刊: 数据分析技术与应用 • 上一篇    下一篇

大数据技术农业应用

王文生,郭雷风()   

  1. 中国农业科学院农业信息研究所,北京 100081
  • 收稿日期:2020-02-10 出版日期:2020-04-20 发布日期:2020-06-03
  • 通讯作者: 郭雷风
  • 作者简介:王文生,中国农业科学院农业信息研究所,博士,二级研究员,农业农村部信息中心副主任,比尔盖茨基金会与科技部项目合作农村信息化领域首席专家,科技部国家农村信息化专家委员会评审组组长,农业部农业物联网专家委专家,九三学社中央农林专业委员会副主任,中国侨联特聘专家,中国农学会计算机应用分会常务副理事长,中国高技术产业化研究会现代农业与航天育种专业委员会副理事长兼秘书长,中国农业技术推广协会高新技术专业委员会副理事长,中国国外农业经济研究会副会长,中国农村专业技术协会常务理事,九三学社中国农业科学院委员会副主委,北京市侨联归国留学人员联合会副主席,北京市海淀区第八、九届政协委员。
    本文中完成了论文的架构设计、应用分析和结论展望。
    Wang WenSheng, Ph.D., acts as the deputy director of Information Center of Ministry of Agriculture and Rural Affairs of the People’s Republic of China, chief expert of cooperation project between Bill & Melinda Gates Foundation and Ministry of Science and Technology in the rural information field, group leader of review group of Expert Committee for State Rural Information of Ministry of Science and Technology, expert of Expert Committee for Agricultural Internet of Things of Ministry of Agriculture, deputy director of Specialized Committee for Central Agriculture and Forestry of the Jiusan Society, distinguished expert of All-China Federation of Returned Overseas, executive vice chairman of Computer Application Branch of Chinese Association of Agricultural Science Societies, vice chairman of Specialized Committee for High and New Technology of China Agro-technological Extension Association, vice chairman of Chinese Society of Foreign Agricultural Economy, executive director of China Rural Special Technology Association, vice chairman of Committee for Chinese Academy of Agricultural Sciences of the Jiusan Society, vice chairman of Beijing Returned Overseas Chinese Scholars Federation, and member of the 8th and 9th CPPCC in Haidian District, Beijing.
    In this paper, he is responsible for the architecture design, application analysis and conclusion forecast.
    E-mail: wangwensheng@caas.cn|郭雷风,中国农业科学院农业信息研究所现代农业信息服务研究室副主任,博士,中国农业科学院农业大数据研究与服务创新团队首席助理、中国农学会计算机应用分会理事、YPARD中国技术官员。主要从事农业农村大数据、智慧养殖等关键技术研究。
    本文中完成了论文的关键技术、应用分析。
    Guo Leifeng, Ph.D., acts as the deputy director of Modern Agriculture Information Service, Agriculture Information Institute, CAAS, chief assistant for Agriculture Big Data Research and Service Innovation Team of CAAS, member of Computer Application Branch of Chinese Association of Agricultural Science Societies and YPARD Chinese Technical Officer. He has experienced several national-level research projects such as National Science and Technology Support Program “Research and Application of Cloud Storage and Cloud Computing Technology for Rural Information Service” (2013BAD15B02) funded by Ministry of Science and Technology; and Public Sector (Agriculture) Scientific Research Funding Program “Integration and Demonstration of Agricultural Extension Service Based on ICTs” (201303107) funded by Ministry of Agriculture. His research interests are rural agriculture big data and smart farming technologies.
    In this paper, he is responsible for the analysis of key technologies and applications.
  • 基金资助:
    江西现代农业科研协同创新专项(JXXTCX201801-03);中国农业科学院创新工程;内蒙古自治区科技重大专项(ZD20190039)

Big Data Technology Applications in Agriculture

Wang Wensheng,Guo Leifeng()   

  1. Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081,China
  • Received:2020-02-10 Online:2020-04-20 Published:2020-06-03
  • Contact: Leifeng Guo

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摘要：

【目的】农业是大数据技术应用的重要领域。本文旨在综述大数据在农业领域的应用重点和方向,对农业大数据关键技术进行思考,推动农业大数据发展。【方法】对大数据技术进行整体介绍,从精准农业、农业物联网、农业遥感等关键领域提出了农业大数据发展需求和特点。【结果】从政府和学术角度,对农业大数据内涵和特征进行整理,介绍了农业大数据获取、管理和处理相关关键技术,分析了大数据精准农业智能控制、大数据农业生产环境监控、大数据农情遥感监测预警等应用现状和特点。【局限】作为大数据应用的重要领域之一,农业大数据在数据平台、管理机制、技术支撑等方面有待进一步加强。【结论】农业大数据将是下一步农业农村创新发展的重要方向,将会对重塑农业生产关系、构建农业信息化生态系统、完善乡村治理体系、助力绿色农业发展等起到重要作用。

关键词: 农业大数据, 关键技术, 精准农业, 农业物联网, 农业遥感

Abstract:

[Objective] Agriculture is an important area for big data technology applications. By reviewing and analyzing the focuses and directions of big data applications in agriculture, we want to find an effective way to promote the development of agricultural big data technologies. [Methods] This paper introduces the big data technology from a holistic perspective, and puts forward the development demands and characteristics of agricultural big data from the key fields including precision agriculture, agricultural Internet of things, agricultural remote sensing and so on. [Results] In this paper, the definition and characteristics of agriculture big data technologies are analyzed from the perspective of government and academia. The key technologies related to the acquisition, management and processing of agricultural big data are introduced. The big data based intelligent control of precision agriculture, agricultural production environment monitoring, agricultural remote sensing and early warning technologies are analyzed. [Limitations] As one of the important fields of big data applications, agricultural big data needs to be further strengthened in aspects of data platform, management mechanism, technology support and many others. [Conclusions] Agricultural big data research will be an important direction of agricultural and rural innovation and development in the next step. It will play an important role in reshaping agricultural production relations, building agricultural information ecosystems, improving the rural governance system, and helping the development of green agriculture.

Key words: agriculture big data, key technology, precision agriculture, agriculture IoT, agriculture remote sensing