基于Hadoop的农业气象预警系统设计与实现  

Design and Implementation of an Agricultural Meteorological Warning System Based on Hadoop

作　　者：曹超凡 王文静 郭佳宏 李威蓉 赵丽[1] CAO Chaofan;WANG Wenjing;GUO Jiahong;LI Weirong;ZHAO Li(Department of Information Technology and Engineering,Jinzhong University,Jinzhong Shanxi 030619,China;School of Agricultural Economics and Management,Shanxi Agricultural University,Jinzhong Shanxi 030801,China)

机构地区：[1]晋中学院信息技术与工程系,山西晋中030619 [2]山西农业大学农业经济管理学院,山西晋中030801

出　　处：《信息与电脑》2024年第23期6-9,共4页Information & Computer

基　　金：国家级大学生创新创业训练计划项目(项目编号:20241138)。

摘　　要：文章提出了一种基于Hadoop的农业气象预警系统,该系统通过Vue.js和Spring Boot架构实现前后端分离,采用HDFS存储数据并利用MapReduce进行处理。系统结合决策树算法进行气象预测,通过ECharts图表库可视化气象数据,帮助农民直观了解气象变化,及时应对自然灾害。测试结果表明,该系统具备高效的数据处理能力和实时预测性能,能够为农业生产提供精准的气象预警支持,提高农业生产效率,推动农业可持续发展。The article proposes a Hadoop-based agro-meteorological early warning system,which realizes front-end and back-end separation through Vue.js and Spring Boot architecture,uses HDFS to store data and utilizes MapReduce for processing.The system combines the decision tree algorithm to make meteorological prediction,and visualizes meteorological data through the ECharts chart database,so as to help farmers intuitively understand meteorological changes and respond to natural disasters in time.The test results show that the system has efficient data processing capacity and real-time prediction performance,which can provide accurate meteorological early warning support for agricultural production,improve agricultural production efficiency,and promote the sustainable development of agriculture.

关 键 词：农业气象预警 MAPREDUCE 决策树 HADOOP 

分 类 号：TP311.56[自动化与计算机技术—计算机软件与理论]