New Zealand Journal of Agricultural Research abstracts

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

Wang Kaiyi^1,2,*

Zhao Chunjiang¹

Zhang Fang Tian¹

Wang Xiao Juan¹

Chen Hong¹

Yao Yuan Fang¹

¹National Engineering Research Center for Information Technology in Agriculture
Beijing City
1 7, China

²Beijing University of Technology
Beijing City
100022, China

^*Author for correspondence:
wangky@nercita.org.cn

Abstract    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 machine 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.

Keywords    critical control point (CCP); HACCP; hazard analysis; kernel function; support vector machine (SVM)

A07086; Online publication date 25 January 2008; Received and accepted 10 August 2007

New Zealand Journal of Agricultural Research, 2007, Vol. 50: 743–748
0028–8233/07/5005–0743 © The Royal Society of New Zealand 2007

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