智能农业管理平台研究与应用

Application Research of the Intelligent Agricultural Management Platform

[目的]为了更好地实现耕地资源的高效合理利用和农业现代化精准管理。[方法]在系统分析农业智能化建设的基础上,深入分析了智能农业在国内外应用背景状况和发展现状,提出了智能农业建设的重要性。[结果]全球定位系统、地理信息系统、遥感监测系统、农业专家决策系统、农业环境监测系统、智能化农机具系统、农田信息采集系统、新型应用集成系统、智能农业网络管理系统和远程在线培训系统构成了智能农业管理平台的技术体系。[结论]我国农业物联网架构模型、信息感知、信息传输、信息处理等技术水平较低,要构建优质的智能农业系统,需要根据实际需求合理规划系统架构,并对其功能模块进行细化分析。

[Objective]In order to better realize the rational use of cultivated land and the precise management of agricultural modernization.[Method]On the basis of systematically summarizing the paper on intelligent agriculture,some suggestions strengthening the construction of agricultural intelligence were put forward.Meanwhile,the application background and current situation of intelligent agriculture at home and abroad were deeply studied.[Result]According to the research,global positioning systems(GPS),geographic information systems(GIS),remote sensing systems,agricultural expert decision systems,agricultural environmental information systems,intelligent agricultural machinery systems,field information collection systems,new application integration systems,intelligent agricultural network management systems,remote online training systems,constituted the technical system of intelligent agricultural management platform.[Conclusion]At present,architecture model of agricultural iot,information perception,information transmission,and information processing in China were at a lower technical level.To build a highquality intelligent agricultural system,it was necessary rationally plan the system architecture according to actual demands,and conduct detailed analysis of functional modules.