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农业大数据研究与应用
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  • 英文篇名:Research and Application of Big Data in Agriculture
  • 作者:姜侯 ; 杨雅萍 ; 孙九林
  • 英文作者:Jiang Hou;Yang Yaping;Sun Jiulin;State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;University of Chinese Academy of Sciences;National Earth System Science Data Sharing Infrastructure, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;
  • 关键词:农业大数据 ; 数据获取 ; 平台建设 ; 数据挖掘
  • 英文关键词:Agricultural big data;;data acquisition;;platform construction;;data mining
  • 中文刊名:NYDS
  • 英文刊名:Journal of Agricultural Big Data
  • 机构:中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院大学;中国科学院地理科学与资源研究所国家地球系统科学数据共享平台;
  • 出版日期:2019-03-26
  • 出版单位:农业大数据学报
  • 年:2019
  • 期:v.1
  • 基金:中国科学院战略性先导科技专项(A类)地球大数据科学工程(No.XDA19020304);; 中国工程院地理资源与生态专业知识服务系统(No.CKCEST-2017-1-8);; 国家地球系统科学数据共享服务平台(No.2005DKA32300)
  • 语种:中文;
  • 页:NYDS201901002
  • 页数:11
  • CN:01
  • ISSN:10-1555/G2
  • 分类号:7-17
摘要
在国家推动乡村振兴战略背景下,农业大数据已成为农业研究与应用的热点。本论文结合大数据的基本内涵和特征,介绍了农业大数据发展的战略意义,分析了农业大数据的基本概念及其包容性的典型特征,概括了农业大数据的获取途径,阐述了农业大数据平台应用体系和关键技术,并从农业决策、智慧生产、市场匹配、农业气象、食品安全等维度对农业大数据的应用进行探讨;最后总结了当前农业大数据面临的困难,为农业大数据的创新发展奠定基础。
        Against the background of China's strategy of promoting rural revitalization, big data has become a hot topic in agricultural research and application. Building on the basic characteristics of big data, this paper introduces the concept of agricultural big data and its typical characteristics. It summarizes current approaches for collecting agricultural big data, describes the application system and key technologies of an agricultural big data platform, and discusses the use of agricultural big data for agricultural decision-making, intelligent production, market match,agrometeorology and food safety. Finally, the paper examines the current difficulties in using agricultural big data. In sum, the paper contributes a foundation of understanding for the innovation and development of agricultural big data.
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