紫苏栽培管理知识模型及决策支持系统研究

将系统分析原理和数学建模技术应用于紫苏栽培管理知识表达体系,通过解析和提炼紫苏生育指标及栽培技术与生态环境和生产技术水平之间的基础性关系和定量化算法,构建了具有时空规律的紫苏栽培管理动态知识模型,并进一步利用软件技术在Visual C++平台上构建了基于知识模型的紫苏管理决策支持系统(KMDSSPM),实现了不同环境条件下的紫苏播前栽培方案设计及产中调控指标预测。其中,播前方案设计包括产量目标与产量结构、密度设计、移栽方案、肥料运筹及水分管理等;调控指标预测包括叶龄动态,叶面积指数动态和干物质积累动态等。紫苏栽培管理知识模型的建立,克服了传统紫苏栽培模式及专家系统地域性强和广适性差的不足,从而为实现紫苏栽培管理决策的定量化和数字化奠定了基础。

A Dynamic Knowledge Model and Decision Support System for Perilla frutescens L. Cultivation and management

By applying the system analysis principle and mathematical modeling technique to knowledge expression system for Perilla frutescens L.cultivation and management,the fundamental relationships and quantitative algorithms of Perilla frutescens L.growth and management indices to variety types,ecological environments and production levels were analyzed and extracted,and then a dynamic knowledge model with temporal and spatial characteristics for Perilla frutescens L.management was developed.Based on the utilization of the soft component characteristics,a knowledge-model-based decision support system for Perilla frutescens L.management(KMDSSPM) was developed on the platform of Visual C .The system can be used to design the pre-sowing cultivation plan and predict suitable growth regulation indices of Perilla frutescens L..The pre-sowing cultivation plan includes yield level and components,sowing density,transplanting plan,fertilization and water management.Regulation indices include the dynamic of leaf age,leaf area index,and dry matter accumulation.The knowledge model overcomes the shortcomings of traditional Perilla frutescens L.cultivation pattern and expert system,such as site specific and narrow applicability,and thus provides a framework for quantitative and digital decision of Perilla frutescens L.cultivation and management.