Multispectral image analysis approach to detect adulteration of beef and pork in raw meats

@inproceedings{Ropodi2015MultispectralIA,
  title={Multispectral image analysis approach to detect adulteration of beef and pork in raw meats},
  author={Athina Ropodi and Dimitrios Pavlidis and Fady R. Mohareb and Efstathios Z. Panagou and George-John E. Nychas},
  year={2015}
}
Abstract The aim of this study was to investigate the potential of multispectral imaging supported by multivariate data analysis for the detection of minced beef fraudulently substituted with pork and vice versa. Multispectral images in 18 different wavelengths of 220 meat samples in total from four independent experiments (55 samples per experiment) were acquired for this work. The appropriate amount of beef and pork-minced meat was mixed in order to achieve nine different proportions of… CONTINUE READING

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