摘要
将系统分析方法和数学建模技术应用于小麦栽培管理知识表达体系,通过解析和提炼小麦生育、管理指标与环境因子、生产水平之间的基础性关系和定量化算法,创建了小麦栽培管理动态知识模型(WheatKnow);进一步结合小麦生长模拟模型(WheatGrow)和小麦管理智能系统,充分利用软构件的语言无关性、可重用性及简便快捷的系统维护机制等特点,在Visual C++和Visual Basic平台上构建了综合性、数字化和构件化的基于知识模型与生长模型的小麦管理决策支持系统(MBDSSWM),实现了预测功能和决策功能的有机耦合与集成。
By applying thesystematic analysis principle and mathematical modeling technique to knowledge expression system for crop cultural management, the fundamental relationships and quantitative algorithms of wheat growth and management indices to variety types, ecological environments and production levels were analysed and extracted, and a dynamic knowledge model with temporal and spatial characters for wheat management (WheatKnow) was developed. Based on the utilization of the soft component characteristics as non language relevance, re-utilization and portable system maintenance, and by further integrating the wheat growth simulation model (WheatGrow) and intelligent system for wheat management, a comprehensive and digital knowledge model-, growth model- and component-based decision support system forwheat management (MBDSSWM) was established on theplatforms of VisualC++ and Visual Basic. The MBDSSWM realized the effective integration and coupling of the prediction and decision-making functions.
出处
《中国农业科学》
CAS
CSCD
北大核心
2004年第6期814-820,共7页
Scientia Agricultura Sinica
基金
国家自然科学基金重点资助项目(30030090)
国家"863 "计划资助项目(2003AA209030)
关键词
知识模型
生长模型
小麦管理决策支持系统
农业信息化
Wheat management
Knowledge model
Growth model
Soft component
Decision support system
