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Peer-reviewedLicence not statedFood Research International

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

  • A.I. Ropodi
  • D.E. Pavlidis
  • Fady Mohareb
  • E.Z. Panagou
  • G.-J.E. Nychas
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Cite

BibTeXRIS
BibTeX
@article{ropodi2026multispectral,
  title = {{Multispectral image analysis approach to detect adulteration of beef and pork in raw meats}},
  author = {A.I. Ropodi and D.E. Pavlidis and Fady Mohareb and E.Z. Panagou and G.-J.E. Nychas},
  journal = {Food Research International},
  year = {2026},
  month = oct,
  doi = {10.1016/j.foodres.2014.10.032},
  url = {https://hal.science/hal-05788723v1},
}
RIS
TY  - JOUR
TI  - Multispectral image analysis approach to detect adulteration of beef and pork in raw meats
AU  - A.I. Ropodi
AU  - D.E. Pavlidis
AU  - Fady Mohareb
AU  - E.Z. Panagou
AU  - G.-J.E. Nychas
PY  - 2026
DA  - 2026/10/09
JO  - Food Research International
DO  - 10.1016/j.foodres.2014.10.032
UR  - https://hal.science/hal-05788723v1
SN  - 0963-9969
ER  -