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《Shandong Agricultural Sciences》 2006-06
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A Dynamic Knowledge Model and Decision Support System for Perilla frutescens L. Cultivation and management

ZHANG Xiao-yan~1,LIU Feng~1,YE Mei~2,LIU Shu-Yun~1,SHANG Ming-hua~1(1.Research Center of Science and Technology Information Engineer,Shandong Academy of Agricultural Sciences,Jinan 250100,China;2.College of Environment & Biological Engineering,Chongqing Technology & Business University,Chongqing 400067,China)  
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.
【Fund】: 国家“863”计划项目(2001AA115370)
【CateGory Index】: S636.9
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