摘要
基于人工智能开发一个大数据信息管理中心,用以处理辽宁玉米粳稻丰产增效生态效益评价项目的大量数据信息。利用Java-Web(HTML,CSS,JavaScript等),MySQL数据库和Echarts图形可视化算法,对大量数据进行筛选和整理,将有用的数据保留在阿里云服务器的MySQL数据库中,通过已经建立的网站进行调用,从而将项目产生的大量数据以更为简便的方式展示和使用,解决项目数据管理问题。
A big data information management center based on artificial intelligence was developed to process a large amount of data and information from the ecological benefit evaluation project of High yield and efficiency of maize and Japonica Rice in Liaoning.Using Java-Web(HTML,CSS,JavaScript,etc.),MySQL database and Echarts graphical visualization algorithms,large amounts of data are filtered and organized,useful data is retained in the MySQL database of Alibaba Cloud Server,and called through established Websites,thus making it easier to present and use the large amount of data generated by the project and solve project data management problems.
作者
张晨敏
杨萍
ZHANG Chenmin;YANG Ping(College of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang 110866,China;Liaoning Agricultural Information Technology Center,Shenyang 110866,China)
出处
《农业科技与装备》
2020年第5期33-36,共4页
Agricultural Science & Technology and Equipment
基金
2018年度国家重点研发计划辽宁半干旱半湿润区雨养玉米、灌溉粳稻规模机械化丰产增效技术集成与示范,子课题辽宁玉米粳稻丰产增效生态效益评价(2018YFD0300309)。
