基于物联网的玉米病害环境监测系统研究与实现

为研究和实现基于物联网的玉米病害环境监测系统,笔者设计了包括感知层、传输层、云服务层和应用层的4层架构。在感知层,利用传感器技术实时采集玉米病害环境的温湿度、降雨量、风向风速、光照强度和土壤温湿度等数据;在传输层中使用4G移动通信网络实现数据的远距离传输;云服务层中,基于四川农畜育种攻关云服务平台,应用数据库技术、云服务技术实现数据的存储和管理;最后,在应用层采用B/S模式实现数据展示服务。结果表明,该系统能够准确采集、稳定传输和安全存储数据,降低了人工成本。因此,它能够为玉米病害研究课题组提供有效的信息化服务,具有一定实用价值。

Agricultural Environmental Monitoring System for Maize Diseases: Research and Implementation Based on the Internet of Things

In order to research and implement an environmental monitoring system for maize diseases based on the internet of things, the authors designed a four-layer framework, including the perception layer, the transport layer, the cloud platform and the application layer. In the perception layer, we collected the environmental data of maize diseases, such as temperature, humidity, precipitation, wind direction, wind speed, light intensity, soil temperature and moisture by using wireless sensors; in the transport layer, we used 4G mobile communication network for remote real-time transmission of data; in the cloud platform, we used database technology and cloud server technology to achieve the storage and management of data based on the breeding cooperation cloud platform of Sichuan; finally, in the application layer, we used B/S architecture technology to implement a data presentation service. The results show that this system can accurately collect, transmit and store data, reducing labor costs. Therefore, it can provide effective information service for the research on maize diseases and has a certain practical value.