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Applicability of Model Updating Method to Different Detection Indexes of Cold Fresh Pork

  • Shanmei Liu
  • Hui PengEmail author
  • Ruifang Zhai
  • Jun Luo
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 509)

Abstract

Model updating method is used to maintain the hyperspectral models established to predict water content, pH value, and TVB-N content of cold fresh pork. After adding 11 slave variety samples to the calibration set of the master variety samples, the prediction results of the updated model of water content for the slave variety samples were \( {\text{R}}_{\text{p}}^{ 2} \, = \,0. 8 2 2 4 \) and RPD = 1.94. After adding 45 slave variety samples, the prediction results of the updated model of pH value for the slave variety samples were \( {\text{R}}_{\text{p}}^{ 2} \, = \,0. 6 1 60 \) and RPD = 1.34. After adding 9 slave variety samples, the results of the updated model of TVB-N content for the slave variety samples were \( {\text{R}}_{\text{p}}^{ 2} \, = \,0. 90 7 3 \) and RPD = 3.04. The findings show that the model updating method can well maintain the TVB-N content model but shows poor maintenance ability for water content model, and it cannot be used to maintain the pH value model. Therefore, the applicability of the model updating method varies in different detection index models for cold fresh pork.

Keywords

Model updating method Water content pH value TVB-N content 

Notes

Acknowledgment

Fund for this research was provided by the project 2662015QC024 supported by the Fundamental Research funds for the Central Universities.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.College of InformaticsHuazhong Agricultural UniversityWuhan HubeiChina

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