摘要
随着精细农业的发展,农作物生长指标和环境参数的监测十分关键。传统的人工采集分析方法存在严重滞后性,无法完成对农作物生长状况的实时监控,导致农业生产效率低下。为有效提升农作物生产质量和产量,基于大数据技术,完成了智能安全监控平台设计。通过对农业生产大棚进行需求分析,完成大棚智能安全监控平台系统架构的设计,并对数据管理服务器、Web服务器及客户端服务器分别进行优化设计;构建了大数据分析Hadoop服务器集群架构,完成了智能安全监控平台软件功能结构和数据库结构的设计。实践应用表明:基于大数据分析的智能安全监控平台能够实时监测农作物生长状态,实现农业生产设备的智能精确控制,且为农业生产提供十分准确的生产决策信息,提升了农业生产效益。
With the development of precision agriculture,the monitoring of crop growth indicators and environmental parameters is critical.Traditional manual collection and analysis methods have serious lag,and cannot complete real-time monitoring of crop growth conditions,resulting in low agricultural production efficiency and yield.In order to effectively improve the quality and yield of crop production,this paper has conducted in-depth research on big data technology and completed the research on the intelligent security monitoring platform based on big data analysis.Through the demand analysis of agricultural production greenhouses,the design of the system architecture of the greenhouse intelligent security monitoring platform is completed.Optimize the design of data management server,Web server and client server respectively;build the big data analysis(Hadoop)server architecture,and complete the design of the software function structure and database structure of the intelligent security monitoring platform.The intelligent security monitoring platform based on big data analysis can monitor the growth status of crops in real time and realize the intelligent and precise control of agricultural production equipment.At the same time,the application of big data analysis technology can provide very accurate production decisions for agricultural production,improve agricultural production efficiency,and improve agricultural production efficiency.
作者
林秋珍
Lin Qiuzhen(Miyun Branch of Capital University of Economics and Business,Beijing 101500,China)
出处
《农机化研究》
北大核心
2023年第1期219-223,共5页
Journal of Agricultural Mechanization Research
基金
北京市科技厅重点研发项目(20135216)。