Classification of bovine carcasses: New biometric remote sensing tools

  • Laura Stinga | lr.stinga@gmail.com Department of Veterinary Medicine, University of Bari Aldo Moro, Valenzano, Italy.
  • Giancarlo Bozzo Department of Veterinary Medicine, University of Bari Aldo Moro, Valenzano, Italy.
  • Gigliola Ficco Siciliani S.p.A., Industria lavorazione carne, Palo del Colle, Italy.
  • Alessandra Emilia Savarino Department of Veterinary Medicine, University of Bari Aldo Moro, Valenzano, Italy.
  • Roberta Barrasso Department of Veterinary Medicine, University of Bari Aldo Moro, Valenzano, Italy.
  • Paolo Negretti West Systems s.r.l. Firenze, Italy.
  • Giovanna Bianconi West Systems s.r.l. Firenze, Italy.
  • Giuseppina Tantillo Department of Veterinary Medicine, University of Bari Aldo Moro, Valenzano, Italy.

Abstract

Slaughtering plants approved by the European Union have specific processes to guarantee that beef carcasses or halfcarcasses, of no less than eight months of age, are provided with health mark and then classified and identified according to the EU carcass classification grid. This classification is based on three criteria: i) Category, ii) Conformation (SEUROP) and iii) Fat Cover (FC). At the end of the classification process each carcass is given a code, consisting of two letters and a number: this operation is called Identification. The aim of our study was to evaluate how the European beef carcass quality classification is determined according to the experience of the personnel involved, then comparing the results with those yielded by the Android platform application. West Systems, through its West- Zootech division, has developed an Android platform application (SEUROP APP) that allows SEUROP and FC classification with a smart-phone. The photo taken with the smart-phone will yield the necessary angular parameters to determine the conformation class depending on the animal’s muscular mass and based on the convexity of some areas on the half-carcass. It also evaluates the ratio between surface of lean tissue and total carcass surface in order to determine the fat cover and complete the classification. The SEUROP APP was able to obtain objective measurements for as much as 84% of the assessments made during the research and development phase.

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Published
2020-10-16
Info
Issue
Section
Original Articles
Keywords:
SEUROP App, Beef carcasses, Classification
Statistics
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How to Cite
1.
Stinga L, Bozzo G, Ficco G, Savarino AE, Barrasso R, Negretti P, Bianconi G, Tantillo G. Classification of bovine carcasses: New biometric remote sensing tools. Ital J Food Safety [Internet]. 2020Oct.16 [cited 2021Oct.16];9(3). Available from: https://pagepressjournals.org/index.php/ijfs/article/view/8645