A CBR method for CFW prevention and treatment
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...
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Veröffentlicht in: | Expert systems with applications 2009-04, Vol.36 (3), p.5469-5474 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 0957-4174 1873-6793 |
DOI: | 10.1016/j.eswa.2008.06.115 |