加工番茄品种选择和播期确定动态知识模型设计与实现

Design and Implementation of a Dynamic Knowledge Model for Suitable Cultivars and Sowing Time of Processing Tomato

基于文献资料和研究成果,利用生态学原理和多目标决策方法,通过定量计算加工番茄品种特征值与环境因子和生产需求之间的符合度,建立了加工番茄适宜品种选择的定量知识模型;在总结、归纳和提炼加工番茄生长发育特性与品种类型、生态环境的动态关系的基础上,运用知识工程和系统建模方法,提出了与品种、产量目标、种植方式等相适应的播期确定动态知识模型。利用石河子、张掖、巴彦淖尔和焉耆4个不同生态点的常年气象资料和不同品种资料对所建知识模型进行了实例分析。结果表明,所建知识模型具有较好的决策性和广泛适应性。

Based on the summarization, induction, and extraction of dynamic relationships of processing tomato growth characteristics to ecological environments and production conditions, through knowledge engineering and system analysis methods, a dynamic knowledge model for cultivars selection and designing suitable sowing time of processing tomato under varied environments was developed by quantifying the integrative effects of multiple factors with the principles of ecology and methods of multi - target decision. Case studies on the model of suitable eultivars selection and sowing time deternfination with the data sets of four different eco - sites under normal climatic year and different typical varieties indicated a good performance in deeision -making and applicability.