Dataset on causality analysis of chilling process in beef and pork carcasses using graphical modeling.
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ABSTRACT: Appropriate control of carcass temperatures in slaughterhouses requires an accurate understanding of extrinsic and intrinsic factors present after slaughter and dressing. Therefore, we use large amounts of data required under the hazard analysis and critical control point system that are accumulated in daily business reports compiled by food business operators. This data aims to clarify the influencing factors or affectors of the chilling processes for beef and pork carcasses in a slaughterhouse using graphical modeling (GM), which is an explorative method in multivariate data analysis. GM has been widely used for statistical causality analysis in visual and flexible modeling. GM is carried out using the following parameters: outside temperature and humidity, number of carcasses in a chill
SUBMITTER: Kuzuoka K
PROVIDER: S-EPMC7424210 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
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