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玉米水分管理动态知识模型的设计与实现
引用本文:郭银巧,李存东,郭新宇,赵传德,赵春江.玉米水分管理动态知识模型的设计与实现[J].农业工程学报,2007,23(6):165-169.
作者姓名:郭银巧  李存东  郭新宇  赵传德  赵春江
作者单位:1. 河北农业大学农学院,保定,071001;国家农业信息化工程技术研究中心,北京,100089
2. 河北农业大学农学院,保定,071001
3. 国家农业信息化工程技术研究中心,北京,100089
4. 首都师范大学信息工程学院,北京,100037
基金项目:国家自然科学基金;国家高技术研究发展计划(863计划);国家粮食丰产科技工程项目
摘    要:农田水分管理与模型构建一直是农业生产的一个热点和难点问题。运用知识模型的构建原理,将系统分析方法和数学建模技术应用于玉米水分管理专家知识表达体系中,根据土壤水分平衡原理,分阶段定量灌溉与玉米和环境影响因子之间的关系,建立了具有系统性和适用性的玉米水分管理动态知识模型,可用于设计不同地区不同降雨年型玉米生育期所需的灌溉定额和灌水定额。利用北京昌平、山东泰安、辽宁沈阳3个不同地区的常年气象资料和玉米品种农大108的品种特征资料对不同生态点常年气候条件下玉米水分管理模型进行了检验;利用北京昌平区不同降雨年型气象

关 键 词:玉米  知识模型  水分管理  专家系统  灌溉
文章编号:1002-6819(2007)6-0165-05
收稿时间:3/3/2006 12:00:00 AM
修稿时间:3/8/2007 12:00:00 AM

Design and implementation of dynamic knowledge model for maize water management
Guo Yinqiao,Li Cundong,Guo Xinyu,Zhao Chuande and Zhao Chunjiang.Design and implementation of dynamic knowledge model for maize water management[J].Transactions of the Chinese Society of Agricultural Engineering,2007,23(6):165-169.
Authors:Guo Yinqiao  Li Cundong  Guo Xinyu  Zhao Chuande and Zhao Chunjiang
Institution:College of Agronomy, Agricultural University of Hebei, Baoding 071001, China;National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China;College of Agronomy, Agricultural University of Hebei, Baoding 071001, China;National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China;College of Information Engineering, Capital Normal University, Beijing 100037, China;National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China
Abstract:Field irrigation management and model establishment are always a core and difficult content in crop simulation. The research focused on exerting the establishment theory of knowledge model, and applying the systematic analysis method and mathematic modeling technology to knowledge expression system of maize water management, based on soil water balance, a dynamic knowledge model with systematic and wide-application characteristics for maize water management was developed, after quantifying the relationship of irrigation to cultivars' characteristics and environmental factors periodically. Cases were studied on the knowledge model with the data sets of normal year in different eco-sites and those of different rainfall years in the same eco-site. The results show that there is no difference on saving water in normal year under different eco-sites, irrigation ration changes with eco-sites(Table 3); more difference in different rainfall years of the same eco-site, which is 8.6% in more rainfall year and 31.9% in normal rainfall year(Table 4), and irrigation in seeding does not change with year, but in Knurling and Filling they do. Irrigation system designed by the model is coherent to the actual planting system well. This indicates that the model has good decision-making ability and applicability.
Keywords:maize  knowledge model  water management  expert system  irrigation
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