›› 2009, Vol. 17 ›› Issue (6): 752-759.DOI: 10.11733/j.issn.1007-0435.2009.06.011

• 研究论文 • 上一篇    下一篇

红三叶栽培管理专家系统构建

钟华平1, 樊江文1, 宋璐璐1, 张文彦1, 张健2   

  1. 1. 中国科学院地理科学与资源研究所, 北京, 100101;
    2. 重庆市畜牧科学院, 重庆, 400015
  • 收稿日期:2008-12-09 修回日期:2009-11-04 出版日期:2009-12-15 发布日期:2009-12-15
  • 通讯作者: 樊江文,E-mail:fanjw@igsnrr.ac.cn
  • 作者简介:钟华平(1964- ),男,江西省兴国人,副研究员,主要从事草地生态系统管理研究;E-mail:zhonghp@igsnrr.ac.cn
  • 基金资助:
    “十一五”国家科技支撑计划(2006BAD16B07)

Design and Implementation of an Expert System for Red Clover(Trifolium pratense L.) Cultivation and Management

ZHONG Hua-ping1, FAN Jiang-wen1, SONG Lu-lu1, ZHANG Wen-yan1, ZHANG Jian2   

  1. 1. Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China;
    2. Chongqing Academy of Animal Sciences, Chongqing 400015, China
  • Received:2008-12-09 Revised:2009-11-04 Online:2009-12-15 Published:2009-12-15

摘要: 本文介绍了红三叶(Trifolium pratense L.)栽培管理专家系统的设计思路与结构体系.该系统以地理信息系统(GIS)和数据库管理系统为开发平台,建立了以草地资源环境综合信息、红三叶试验观测数据等为基础的数据库,并构建相关模型,实现在我国南方山区,红三叶品种选择、播种、灌溉、施肥、刈割利用等栽培技术的决策;同时对不同管理措施下红三叶生长情景进行预测,并提供相应的目标管理决策建议.该系统有红三叶基本信息、草地资源环境综合信息数据与模型、红三叶栽培技术决策、红三叶生长情景预测与目标管理决策4个模块.通过系统运行,可实现红三叶栽培管理信息的查询、栽培技术的智能决策,以及红三叶生产情景预测和目标管理的科学决策,为用户提供咨询服务.

关键词: 红三叶, 栽培管理, 专家系统

Abstract: The function and structure of the expert system for red clover cultivation and management is introduced in this article.This expert system is constructed on the GIS and the SQL server database management system.And its functions includes four modules: the basic information about red clover,the database of the grassland resource and environmental information,the decision-making of red clover cultivation techniques,and growing scenario forecast and decision-making of the target management about red clover cultivation.Meanwhile,the whole process of red clover industrialization are considered systematically such as selection of suitable red clover species and suitable period of cultivation,sowing management,scientific irrigation modes,rational fertilization and diagnose of fertilizer shortage,diagnose and control of diseases,pests and weeds,suitable harvest time,yield modeling in different management factors,quality assessment etc,based on the topography,water resources,soil condition,climate and other productive conditions in the mountainous areas of South China.The user can not only acquire abundance information and knowledge about red clover with the expert system,but also be supplied the timely and scientific service and support of the technology for red clover industrialized production.

Key words: Red clover, Cultivation and management, Expert system

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