A KNOWLEDGE MODEL-AND GROWTH MODEL-BASED MANAGEMENT SYSTEM FOR CORN

摘要：

By analyzing and extracting of the results of research on corn (Zeamays L.) cultural theories and technologies, a growth model (GM) and a knowledge model (KM) for corn management have been developed using the systems analysis principle and mathematical modeling technique and which are driven by dynamic relationships and quantitative algorithms of corn growth and management indices to variety traits, eco-environments and production levels. Based on the platforms of Microsoft Visual C++ .NET, a comprehensive and digital knowledge model- and growth model-based management system for corn (KMGMSC) has been established using soft component. Case studies on the KMGMSC with the data sets of different climatic years, soil types and cultivars at different eco-sites, and comparative field experiments indicated a good performance of the model system in decision-making and guidance for corn management.

关键词： corn knowledge model growth model soft component

作者: Dingchun Yan Yeping Zhu Shijuan Li

作者单位: Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing, 100081, China

会议类型: 国际会议

会议名称: 第三届智能化农业信息技术国际学术会议(The 3rd International Symposium on Intelligent Information Technology in Agriculture)(ISIITA)

会议地点: 北京

会议语种:英文

页码: 240-243

在线出版日期: 2005-10-14（万方平台首次上网日期，不代表论文的发表时间）