基于大数据的智能农业云服务平台设计与实现

Design and Implementation of Intelligent Agricultural Cloud Service Platform Based on Big Data Technology

以Lambda Architecture大数据技术框架为基础,应用HDFS、Hadoop MapReduce、Storm等一系列大数据处理和分析技术,并基于云计算服务,构建了一种基于大数据的智能农业云服务平台。该平台设计为3层大数据云服务架构,从底层至系统上层依次为云服务层、大数据系统层和应用层。平台支持农业资源基础数据、农业生产数据、生产经营主体数据、市场信息数据、科技服务数据的查询浏览、统计分析、信息共享、信息发布等功能,解决了现代农业产业园背景下,农业经营的全产业链大数据管理和分析的应用问题,系统在广东省部分现代农业产业园初步部署。

Based on the big data technology framework of Lambda Architecture,we applied a series of big data processing and analysis tech-nologies,such as HDFS,Hadoop MapReduce and Storm.Based on cloud computing services,we constructed an intelligent agricultural cloud service platform based on big data.The platform was a three-tier big data cloud service architecture,from the bottom layer to the top layer of the system were cloud service layer,big data system layer and application layer.The platform supported the query and browsing,statistical analy-sis,information sharing,information release and other functions of agricultural resource basic data,agricultural production data,production and operation principal part data,market information data,science and technology service data.It also solved the modern agriculture under the background of industrial park,the application of big data management and analysis in the whole industrial chain of agricultural management was preliminarily deployed in some modern agricultural industrial parks in Guangdong Province.