A CBR method for CFW prevention and treatment

被引：3

作者：

Yang, Zhengang ^{[1
]}

Deng, Feiqi ^{[2
]}

Liu, Weizhang ^{[1
]}

Fang, Yongmei ^{[1
]}

机构：

[1] S China Agr Univ, Coll Informat, Guangzhou 510642, Guangdong, Peoples R China

[2] S China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 03期

关键词：

Case-based reasoning; Cucumber fusarium wilt; Prevention; Treatment; DECISION-SUPPORT-SYSTEM; DIAGNOSIS;

D O I：

10.1016/j.eswa.2008.06.115

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Different from the conventional methods, this paper presents a case-based reasoning (CBR) method for cucumber fusarium wilt (CFW) prevention and treatment, with vantage case-based indexing and retrieval mechanism, sensitivity analysis based reasoning method and Recall evaluation based case retaining strategy. The optimal interval of case dissimilarity distance threshold T is inferred from the experimental results by X fold cross-validation method. The experiments and application show that useful information can be generated for CFW prevention and treatment and the dynamic adjustment for decision-making of cucumber planting can be assisted by the proposed CBR system. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：5469 / 5474

页数：6

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