Application of a support vector machine to HACCP in the animal meat industry

The practical implementation of hazard analysis and critical control point (HACCP), and in particular the definition of the critical control points in the food industry, is usually a complex structured task. A support vector m achine has been constructed to solve this problem. The proposed methodolo...

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Bibliographic Details
Published in:New Zealand journal of agricultural research 2007-12, Vol.50 (5), p.743-748
Main Authors: Kaiyi, Wang, Chunjiang, Zhao, Tian, Zhang Fang, Juan, Wang Xiao, Hong, Chen, Fang, Yao Yuan
Format: Article
Language:English
Subjects:
critical control point (CCP)
HACCP
hazard analysis
kernel function
support vector machine (SVM)
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Summary:The practical implementation of hazard analysis and critical control point (HACCP), and in particular the definition of the critical control points in the food industry, is usually a complex structured task. A support vector m achine has been constructed to solve this problem. The proposed methodology allows one to implement the first and second principles in the application of HACCP automatically and intellectually. The CCP identification is regarded as a classification problem-to classify the hazards into CCPs and non-CCPs. The system is tested through real cases and the results are given.
ISSN:0028-8233
1175-8775
DOI:10.1080/00288230709510346