A CBR method for CFW prevention and treatment

Authors:
Zhengang Yang;Feiqi Deng;Weizhang Liu;Yongmei Fang
Affiliations:
College of Informatics, South China Agricultural University, Guangzhou, Guangdong 510642, China;College of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China;College of Informatics, South China Agricultural University, Guangzhou, Guangdong 510642, China;College of Informatics, South China Agricultural University, Guangzhou, Guangdong 510642, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

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.