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农作物害虫预测模型网络共享平台系统 被引量:6

A web system for crop pest prediction based on a database of forecast models in China
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摘要 准确的害虫预测是科学防治害虫的前提。我国已开发了大量害虫预测模型,但未形成方便获取及应用的软件,用户难以理解复杂的数学模型,模型应用受到很大局限。本研究收集了50余种重要害虫,查阅筛选出预测预报模型文献350篇;按害虫名称、发生地点、预测内容对模型进行提取、归纳;利用VBSCRIPT技术对模型进行了程序化表达;设计了预测结果评价模块,构建了农作物害虫预测模型网络共享平台系统。系统在技术上采用了先进的无安装B/S框架网络设计,系统主体由用户模块、模型模块、预测模块、评论模块和害虫预测模型库组成,将复杂的害虫测报模型转变成方便用户操作的页面填空模式,用户只需确定害虫名称并选取预测模型,即可得出预测结果,并对模型有效性进行评价。搭建了害虫测报成果与生产实践的桥梁。 An accurate forecast of population dynamics of pest is essential for a smart pest control.Many prediction models had been explored for pest forecasting in China.However,few of these models were developed into applicable software on the web.The applying of those prediction models was restricted because their internal complicated mathematical relationships were difficult to understand by most users.We did the literature investigations for the pest forecast models in China.We collected 350 articles which were related to more than 50 insect species.The details of prediction models were extracted and put in order of insect pest names,occurrence locations and prediction aims.Those models were expressed in VBSCRIPT source codes.Finally,we constructed a web system by using B/S framework technology.The web system is consisted of user's module,model-module,prediction-module,evaluation-module and a database of prediction models.We simplified the complicated prediction models into a convenient procedure which allow users to run the forecast models by selecting a pest name and a prediction model,and filling a few simple blanks on a web page.Our system designed a tool which encourages users to validate the models through evaluation of their forecast results.Our system has a potential help to promote the extension works of forecast models developed by scientists for farmers and extension services.
出处 《环境昆虫学报》 CSCD 北大核心 2011年第2期173-179,共7页 Journal of Environmental Entomology
基金 公益性行业(农业)科研专项经费项目(200803006 200803001)
关键词 预测预报 模型 数据库 共享平台 forecast database model sharing platform
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