张谷丰, 朱叶芹, 翟保平. 基于WebGIS的农作物病虫害预警系统[J]. 农业工程学报, 2007, 23(12): 176-181.
    引用本文: 张谷丰, 朱叶芹, 翟保平. 基于WebGIS的农作物病虫害预警系统[J]. 农业工程学报, 2007, 23(12): 176-181.
    Zhang Gufeng, Zhu Yeqin, Zhai Baoping. WebGIS-based warning information system for crop pest and disease[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(12): 176-181.
    Citation: Zhang Gufeng, Zhu Yeqin, Zhai Baoping. WebGIS-based warning information system for crop pest and disease[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(12): 176-181.

    基于WebGIS的农作物病虫害预警系统

    WebGIS-based warning information system for crop pest and disease

    • 摘要: 为适应农作物病虫资料信息化、网络化、规范化的要求,及各级植保技术人员日常工作的需要,应用开源免费的设计软件PHP+Apache+MapServer+MySQL,构建一套基于WebGIS的病虫数据库及自动预警系统(WPDAWS)。该系统采用开放式的设计模式,为各级用户(省、市、县)提供一个强大的数据管理平台。通过树型动态菜单和在线数据表设计系统,用户可根据需要自行按规范化标准建立和管理自己的病虫数据库(表);应用WebGIS,系统可对大尺度、宏观的虫情数据进行分析和判断;系统可对用户的田间原始数据进行自动处理,对各种病虫进行短期预警;系统集成了数理统计分析模块,协助用户建立中长期预测模型。系统操作简单方便,应用性强,适用面广,对于加强农作物病虫害信息网络化管理和宏观科学决策具很高的应用价值。

       

      Abstract: In order to meet the demands for informatization, network-based and standardization of crop pest data, and for the daily work of the technical staff of plant protection station, a WebGIS-based pest database and an automated warning system(WPDAWS) were built using the free open-source software including PHP, Apache, MapServer and MySQL. An open-style design mode was used in this system, which provided a powerful platform for different users to mange their data, such as the users from province, city or county plant protection station. The registered users have a permission to establish and manage a standardized pest database according to their own requirements, through the dynamic menu tree and data table design online system. The system can analyze and show the macro geographic scale pest data using the Web-GIS. The system can process the originally rough data of field investigation automatically and then make a short-term pest and diseases forecast. The mathematical statistical analysis module was integrated into this system which can help users to build a medium- and long-term forecasting model for the crop pest and disease. In addition, this system is easy to operate, so it has a strong and broad application. It is helpful to strengthen the information management of the crop pests through the network and to make macro decisions.

       

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