摘要
农业数据具有容量大、关联性强、复杂多变等特点。大数据技术能从庞大的数据集合中寻找、挖掘有价值的数据和知识。推动大数据技术在农业领域的实践和应用,对把握农业信息内在联系和规律意义重大。首先阐述了大数据的基本内涵和农业大数据概念与特点;然后从服务、管理、应用、技术、资源5个关键环节分析设计了农业大数据SMART应用体系架构,重点分析了构建体系的关键技术、重点资源与主要应用领域;最后在此基础上,设计了一个农业大数据智能分析平台,并详细分析了平台的总体架构、功能设计及技术实现。
Agricultural data have the characteristics of large capacity, strong affinity, complex, etc. Big data technology can mine valuable information and knowledge from large data sets. Promoting the practice and application of big data technology in agriculture is significant to grasp the internal relations and rules of agricultural information. This paper first described the basic concepts of big data, as well as the concept and feature of agricultural big data. Then, the SMART application architecture of agricultural big data was designed from five key areas, including service, management, application, technology and resource. Among them, the key technologies to build the system, focus resources and main application areas were analyzed. Finally, based on the above basises, a platform for intelligent analysis of agricultural big data was built, and the overall platform architecture, functional design and technology were discussed in detail.
出处
《广东农业科学》
CAS
CSCD
北大核心
2014年第14期173-178,共6页
Guangdong Agricultural Sciences
基金
广州市科技计划项目电子商务发展专项(穗科信字[2012]232号)
广州市天河区科技计划项目(201303FT196)
关键词
农业
大数据
架构体系
智能分析平台
agriculture
big data
architecture
intelligent analysis platform
