• DocumentCode
    1591906
  • Title

    Study on estimating lean percentage and grading of pig carcass in slaughter line

  • Author

    Gao, Li ; Zheng, Limin ; Zhu, Hong ; Wu, Ping ; Tian, Lijun ; Ren, Fazheng ; Li, Pengjun

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    427
  • Lastpage
    430
  • Abstract
    The pork quality involves multifaceted characters. The producers, sellers, consumers and slaughters have different requirements in the same process, so we should use various indexes to evaluate the pork grading. In this paper, we measured the horizontal length, fat thickness and lean meat content of different parts, then calculate the lean percentage of pig carcass, and record the artificial grading results. Stepwise-regression-analysis of SPSS 13.0 was used to estimate the lean percent and grading of pig carcass. With the lean percentage as dependent variable, and other indicators as independent variable, we establish the statistical relationship model between lean percentage and pig carcass figure characters. In addition, we established the model between grading and pig carcass figure characters, which can be considered as a basic study for founding an online pig carcass evaluating system.
  • Keywords
    food products; regression analysis; SPSS 13.0; fat thickness; lean meat content; lean percentage estimation; online pig carcass evaluating system; pork quality; slaughter line; statistical relationship model; stepwise regression analysis; Animals; Biological system modeling; Correlation; Equations; Leg; Mathematical model; Predictive models; Carcass Grading; Lean Percentage; SPSS13.0;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665516