国内外农业大数据应用研究分析

摘要

针对农业领域数据规模大、数据结构复杂、空间数据挖掘能力不足等问题，研究了大数据开源技术在农业领域的数据分析体系中的应用。借鉴国内外学者在农业大数据的研究成果，基于农业数据时空属性的特征，结合农业数据的特点分析了Hadoop 、Storm和Spark开源大数据挖掘技术，归纳性阐述了如何开发适合农业需求的大数据系统。最后，简要分析了农业大数据技术所面临的挑战和研究难题，指出需要加大力度进一步深入理论和应用研究，从而推动和实现基于数据的科学决策，为国家粮食提供安全保障。%In view of the problems of large scale , complicated structure and scarce data mining of agricultural data , the application of big data open source technologies to the agricultural data analysis system is investigated .Based on the characteristics of the agricultural data ’ s spatio-temporal attribution , the classical big data mining technologies of Hadoop, Storm and Spark are analyzed under the consideration of the features of agricultural data .Then, how to develop a big data system for agriculture is described summarily .Finally, the challenges and research problems to agricultural big data are concisely analyzed and summarized .It is pointed that it is necessary to do further research on the related theory and applications to boost and realize the scientific decision based on data to provide the secure guarantee for national food .