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| 玉米适宜品种选择和播期确定动态知识模型的设计与实现 | |
| 引用本文： | 郭银巧,郭新宇,赵春江,赵传德,李存东.玉米适宜品种选择和播期确定动态知识模型的设计与实现[J].中国农业科学,2006,39(2):274-280. |
| 作者姓名： | 郭银巧 郭新宇 赵春江 赵传德 李存东 |
| 作者单位： | 1. 河北农业大学,保定,071001;国家农业信息化工程技术研究中心,北京,100089 2. 国家农业信息化工程技术研究中心,北京,100089 3. 首都师范大学,北京,100037 4. 河北农业大学,保定,071001 |
| 基金项目： | 国家高技术研究发展计划(863计划);国家科技攻关项目;河北省科技攻关项目 |
| 摘 要： | 【目的】试图建立一种具有时空动态性的玉米适宜品种选择和播期确定知识模型。【方法】运用知识工程原理和数学建模技术, 通过定量计算玉米品种特征值与生态环境因子和生产需求之间的符合度，建立了玉米适宜品种选择动态知识模型。依据玉米生长发育进程与最佳季节同步原理，建立了玉米适宜播期确定知识模型。【结果】模型验证利用北京、济南、沈阳等不同生态点常年气象资料以及8个不同品种数据资料，对所建品种选择知识模型进行了实例分析；利用河北滦平、山东济南、辽宁沈阳3个不同地区的气象资料和农大108品种资料对播期模型进行了实例验证。【结论】该系统具有较好的决策性和普适性。 |
| 关 键 词： | 玉米 播期 知识模型 |
| 收稿时间： | 10 23 2005 12:00AM |
| 修稿时间： | 2005-10-232006-01-04 |
Design and Implementation of a Dynamic Knowledge Model for Suitable Cultivars and Sowing Time of Maize |
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| GUO Yin-qiao,GUO Xin-yu,ZHAO Chun-jiang,ZHAO Chuan-de,LI Cun-dong.Design and Implementation of a Dynamic Knowledge Model for Suitable Cultivars and Sowing Time of Maize[J].Scientia Agricultura Sinica,2006,39(2):274-280. | |
| Authors: | GUO Yin-qiao GUO Xin-yu ZHAO Chun-jiang ZHAO Chuan-de LI Cun-dong |
| Institution: | 1 .Agricultural University of Hebei, Baoding 071001; 2 .National Engineering Research Center for Information Technology in Agriculture, Beijing 100089; 3. Capital Normal University, Beijing 100037 |
| Abstract: | 【Objective】This study was designed to develop a spatial and dynamic knowledge model for suitable cultivars and sowing time of maize. 【Method】Applying the knowledge engineering method and mathematical modeling technique, a dynamic knowledge model for suitable cultivars in maize was established by quantitatively calculating the relationship of the cultivar characteristics to environmental factors and production requirement. The knowledge model for suitable sowing time is based on the synchronization between the maize growing process and the suitable season. 【Result】Cases were studied on the suitable cultivars selection model with data sets of eight typical cultivars and three different eco-sites, such as Beijing, Ji'nan, Shenyang, and on suitable sowing time decision model with data sets of a typical cultivar and three different eco-sites as well. 【Conclusion】 The result indicated a good performance of the knowledge model in decision-making and wide applicability. |
| Keywords: | Maize (zea mays) Sowing time Knowledge model |
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