A CBR method for CFW prevention and treatment

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• 作者：Zhengang Yang ; Feiqi Deng ; Weizhang Liu ; Yongmei Fang
• 关键词：Case-based reasoning ; Cucumber fusarium wilt ; Prevention ; Treatment
• 刊名：Expert Systems with Applications
• 出版年：2009
• 出版时间：April 2009
• 年：2009
• 卷：36
• 期：3, Part 1
• 页码：5469-5474
• 全文大小：349 K

文摘

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.