›› 2012, Vol. 14 ›› Issue (6): 76-83.DOI: 10.3969/j.issn.10080864.2012.13.

• 数字农业 农机装备 • 上一篇    下一篇

水稻病害预测专家系统研究的文献计量分析

丁麟,路文如   

  1. 中国农业科学院农业信息研究所, 北京 100081
  • 收稿日期:2012-05-10 修回日期:2012-05-30 出版日期:2012-12-15 发布日期:2012-11-15
  • 通讯作者: 路文如,研究员,博士生导师,主要从事竞争情报研究。E-mail:luwenru@mail.caas.net.cn.
  • 作者简介:丁麟,副研究员,博士研究生,研究方向为竞争情报。Tel:010-82106759。通讯作者:路文如,研究员|博士生导师|主要从事竞争情报研究。E-mail:luwenru@mail.caas.net.cn.
  • 基金资助:

    中央基本科研业务经费(2011-J-22)资助。

Biblimetrics Analysis of Experts System Research for Rice Disease Forecast

DING Lin, LU Wenru   

  1. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2012-05-10 Revised:2012-05-30 Online:2012-12-15 Published:2012-11-15

摘要:

基于各类专家系统的水稻病害预测研究为当今水稻病害的高效防治提供了全新的模式。通过分析web of science(WOS)引文数据库收录的有关水稻病害预测专家系统的最新文献,可以准确了解我国在利用上述手段控制水稻病害方面与世界先进水平的差距,从而为我国水稻病害预测研究的科研工作者和决策者制订系统研发策略提供参考依据。对2000-2009年间该库收录的水稻病害预测专家系统核心文献进行了计量分析。统计期间内热点研究领域是基于Web GIS系统平台对水稻病害的实时监控等研究。结果表明,美国在上述研究中占有明显优势,我国在发文量上位居第2位。中国高被引论文数量与发文总量所处的地位不相称,缺少高水平研究论文的现象值得注意。

关键词: 水稻病害;专家系统;文献计量;web of science

Abstract:

New model was provided by rice disease prediction research of various kinds of expert system for efficient prevention and control of rice disease. Through analyzing the core articles via WOS, we could accurately find out the gap between the world and China, and provided reference for researchers and strategy makers in China. A bibliometrics study on the expert system of rice disease from 2000 to 2009 by WOS was carried out by quantatative analysis.  The hot research area of the expert system was based on Web GIS system for realtime mornitiring of rice diseases. Results indicated that the United States has taken obvious advantages in the above mentiones studies. China takes the second place in the quantities of published papers. The phenomenon of lacking papers with high academic level merits attention.

Key words: rice disease, expert system, bibliometrics, web of science

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