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多媒体蔬菜栽培专家系统MVPES 被引量:9

The expert system of multimedia vegetable planting (MVPES)
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摘要 通过对园艺专家的蔬菜栽培知识的研究,研制了多媒体蔬菜栽培专家系统MVPES。MVPES将蔬菜生产分为播前准备、育苗、定植、田间管理、病虫害防治、采收与贮藏及肥料运筹七个子系统, 采用描述型知识、数据型知识、规则型知识等知识表示形式,配以土壤信息系统(GIS)、超文本数据库、图片数据库、知识规则库等专家决策支持系统,采用“产生式“、”决策树“和”加权模糊逻辑“的方法构建了品种决策、播期决策、定植密度决策、肥料决策和病虫害诊断等决策模块。以Authorware为开发工具设计了MVPES的多媒体流程图。程序采用构件化技术设计。 Passing to vegetable planting intellective study of the gardening expert, we have work over expert systems of the multimedia vegetable planting (MVPES). MVPES partition vegetable yield to seven subsystems, viz. before seeding preparative, raise seedlings, field planting, field manage, prevention and cure of the plant diseases and insect pests, to pick and store, fertilizer scheme. We adopted knowledge' denotation form, viz. knowledge of the description, data, rule etc. And again assist some expert' decision-making sustaining systems, for example, soil' information systems, hyper text database, photograph database, knowledge' rule-base etc. We also adopted the methods of 'bring', 'decision-making tree' and 'weighted illegible logic', to construct five decision-making modules, viz. the decision-making of breed, a period of seeding time, planting density, fertilizer and diagnoses of diseases and insect pests. We have designed MVPES' multimedia flow chart with Authorware qua tool. The programming is adopted the technique of configurable design.
出处 《计算机与农业》 2001年第2期9-12,共4页 Computer and Agriculture
关键词 蔬菜 栽培 多媒体 专家系统 MVPES agriculture; vegetable; expert systems; multimedia; computer software
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  • 1柴毅 黄席樾.基于农作物生长特征的作物栽培专家系统[J].模式识别与人工智能,1999,12:56-60.
  • 2柴毅,模式识别与人工智能,1999年,12卷,2期,56页
  • 3何新贵,知识处理与专家系统,1990年,34页

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