作　　者： (吴重言）; (吴成伟）; (熊燕玲）; (陶佩莹）;

机构地区： 中农网购（江苏）电子商务有限公司,江苏盐城224000

出　　处： 《现代农业科技》 2017年第17期290-292,295,共4页

摘　　要： 近年来,农业数据的类型和数量剧烈增长,给农业大数据的获取、集成、存储与处理带来了巨大挑战。云计算、大数据等重要技术为农业提供了解决方法。本文从大数据引出农业大数据的概念与发展现状,介绍了农业大数据的关键技术,包括采集、集成、存储与处理技术,详细分析了云计算技术、Map Reduce、分布式文件系统、分布式数据库,并对农业大数据面临的挑战与解决方案提出了思考。 In recent years ,the type and quantity of agricultural data has grown dramatically,which brings great challenge to the agricultural data acquisition,integration, storage and processing.Cloud computing, big data and other important technologies provide a solution to agriculture.This paper drew on the concept and development of agricultural big data from big data ,and introduced the key technologies of agricultural big data,including the technology of collection, integration, storage and processing, and analyzed the detail of the cloud computing technology, MapReduce ,distributed file system, distributed database. Finally, challenges and solutions to the agricultural big data were put forward.

关 键 词： 农业大数据 云计算 物联网 关键技术