基于模型的玉米管理决策支持系统研究

通过对已有玉米生产管理理论和技术研究成果的分析和提炼,运用系统分析理论和数学建模方法,充分挖掘玉米生长和管理指标与品种特性、生态因子及生产水平之间的动态关系和定量算法,分别构建了玉米生长模型和玉米管理知识模型.利用组件技术,在Microsoft Visual C＋＋.NET开发平台上建立了综合性和定量化的基于模型的玉米管理决策支持系统,该系统实现了玉米生长模型与管理知识模型的耦合.利用不同生态点和不同年份的气象、土壤和品种资料及大田比较试验对系统进行了检验,结果表明系统可以有效地进行玉米管理的辅助决策及实时诊断调控.

Studies on the model-based decision support system for maize

By analyzing and extracting of the results of research on maize(Zeamay s L.) cultural theories and technologies,a growth model and a knowledge model f or maize management have been developed using the system's analysis principle an d mathematical modeling technique,and which are driven by dynamic relationships and quantitative algorithms of maize growth and management indices to variety t raits,eco-environments and production levels.Based on the platforms of Micros oft Visual C++.NET,a comprehensive and digital knowledge model-and growth mod el-based decision support system for maize(MDSSM) has been established using CO M(component object model).Case studies on the MDSSM with the data sets of dif ferent climatic years,soil types and cultivars at different eco-sites,and comp arative field experiments indicated a good performance of the model system in de cision-making and guidance for maize time-course regulation.