安徽农业科学2017，Vol.45Issue(16)：206-209,4.
基于云端的农业病虫草害大数据图文数据库的设计与实现
Design and Implementation of Big Data Graphic Database for Agricultural Diseases, Pests and Weeds Based on Cloud Calculation
摘要
Abstract
Aiming at the problem of big data storage dispersion and display without systematization of diseases,pests and weeds,Spark core technology was used to build large-scale clusters,HDFS distributed file system,MongoDB database were combined with MySQL database to construct big data graphic database system of agricultural diseases,pests and weeds based on cloud technology.The system implemented the functions of information management,information query,user management and database maintenance.The database system had strong compatibility,clear classifications,friendly interface and provide real-time updates,massive data storage and management for heterogeneous multi-source data display and pest and.Also,integrated information service platform was established for the diseases,pests and weeds information,and it was of very important significance for strengthening the digital management,information sharing etc..关键词
病虫草害/Spark框架/大数据/图文数据库Key words
Diseases, pests and weeds/Spark framework/Big data/Graphic database分类
农业科技引用本文复制引用
朱静波,张立平,董伟,李闰枚,方钰,孔娟娟..基于云端的农业病虫草害大数据图文数据库的设计与实现[J].安徽农业科学,2017,45(16):206-209,4.基金项目
安徽省农业科学院院长青年创新基金项目(17B1422). （17B1422）
