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农业大数据综述 被引量:84

Overview of Agriculture Big Data Research
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摘要 云计算、物联网、大量社交网络的兴起使我们社会的数据种类和数量都呈井喷式增长,大数据时代已经到来。农业信息化是现代农业建设的重要内容,农业物联网等应用使农业产业发展中的应用日渐深入。在大数据背景下,大数据分析也为农业信息化提供了技术支持。对农业大数据的相关概念进行阐述,介绍了大数据的分析过程,以及对可应用于农业大数据的各项技术进行了介绍。最后简要分析了农业大数据未来发展所要面临的挑战。 Data type and amount are growing in amazing speed which is caused by the emergency of new services such as cloud computing,internet of things and social network.The era of big data has come.Agricultural informatization is an important part of the construction of modern agriculture.The use of internet of agriculture things makes the applications of agriculture more and more deeply in the big data areas.Big data analytics also provides technical support for the agricultural informatization.This paper elaborated the related concept of agricultural big data,and introduced the progress of big data analytics.The key techniques of agricultural big data were described.Finally some new challenges in the future were summarized.
出处 《计算机科学》 CSCD 北大核心 2014年第B11期387-392,共6页 Computer Science
基金 国家科技支撑计划项目(2012BAD35B08)资助
关键词 农业大数据 物联网 云计算 Agricultural big data Internet of things Cloud computing
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  • 1James M,Michael C,Brad B. Big data: The next frontier for in- novation, competition, and productivity[J]. The McKinsey Global Institute, 2011(5).
  • 2Big data[EB/OL]. [2014-03-19]. http,//en, wikipedia, org/wi- ki/Big_data.
  • 3Grobelnik, Marko. Big Data Tutorial[EB/OL]. [2014 03-19]. http://videolectures, net/eswc2012_grobelnik_big-data.
  • 4Barwick H. The "four Vs" of Big Data. Implementing lnforma tion Infrastructure Symposium[EB/OL]. [2014-03-19]. http:// www. Computerworld. corn. au/article/396198/iiis four vs big_ data.
  • 5曾晓娟,丁超英,文红霞,张广平.探讨实现农业信息化的有效途径[J].农业图书情报学刊,2004,15(2):34-37. 被引量:15
  • 6王儒敬.我国农业信息化发展的瓶颈与应对策略思考[J].中国科学院院刊,2013,28(3):337-343. 被引量:52
  • 7温孚江.农业大数据研究的战略意义与协同机制[J].高等农业教育,2013(11):3-6. 被引量:83
  • 8WinterCorp. The Large Scale Data Management Experts[EB/ OL]. http//www, wintercorp, com.
  • 9Nature. Big Data[EB/OL]. [2014-03-19]. http://www, nature. com/news/speeials/bigdata/index, html.
  • 10Science. Special Online Collection; Dealing with Data[EB/OL]. [2014-03-19]. http://www, sciencemag, org/site/special/data.

二级参考文献217

  • 1赵星,廖桂平,史晓慧,陈诚,李文圃.物联网与云计算环境下的农业信息服务模式构建[J].农机化研究,2012,34(4):142-147. 被引量:29
  • 2郭昱,吴清烈.基于云计算的大规模定制客户需求响应模型及其节点的选择与分布[J].系统工程理论与实践,2011,31(S2):1-6. 被引量:12
  • 3吴丽花,刘鲁.个性化推荐系统用户建模技术综述[J].情报学报,2006,25(1):55-62. 被引量:104
  • 4卢丽娜.国外农业信息化发展现状及特点[J].中国农村小康科技,2007(4):23-26. 被引量:51
  • 5Zhou MQ, Zhang R, Zeng DD, Qian WN, Zhou AY. Join optimization in the MapReduce environment for column-wise data store. In: Fang YF, Huang ZX, eds. Proc. of the SKG. Ningbo: IEEE Computer Society, 2010.97-104. [doi: 10.1109/SKG.2010.18].
  • 6Afrati FN, Ullman JD. Optimizing joins in a Map-Reduce environment. In: Manolescu I, Spaecapietra S, Teubner J, Kitsuregawa M, Leger A, Naumann F, Ailamaki A, Ozcan F, eds. Proc. of the EDBT. Lausanne: ACM Press, 2010. 99-110. [doi: 10.1145/ 1739041.1739056].
  • 7Sandholm T, Lai K. MapReduce optimization using regulated dynamic prioritization. In: Douceur JR, Greenberg AG, Bonald T, Nieh J, eds. Proc. of the SIGMETRICS. Seattle: ACM Press, 2009. 299-310. [doi: 10.1145/1555349.1555384].
  • 8Hoefler T, Lumsdaine A, Dongarra J. Towards; efficient MapReduce using MPI. In: Oster P, ed. Proc. of the EuroPVM/MPI. Berlin: Springer-Verlag, 2009. 240-249. [doi: 10.100'7/978-3-642-03770-2_30].
  • 9Nykiel T, Potamias M, Mishra C, Kollios G, Koudas N. MRShare: Sharing across multiple queries in MapReduce. PVLDB, 2010, 3(1-2):494-505.
  • 10Kambatla K, Rapolu N, Jagannathan S, Grama A. Asynchronous algorithms in MapReduce. In: Moreira JE, Matsuoka S, Pakin S, Cortes T, eds. Proc. of the CLUSTER. Crete: IEEE Press, 2010. 245-254. [doi: 10.1109/CLUSTER.2010.30].

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