Advanced search
Add to list

Automatische Bewertung von Broiler-Schlachtkörpern mittels Bildsystemen

(2001) FLEISCHWIRTSCHAFT. 81(11). p.96-101
Author
Organization
Abstract
Vision systems have been in use in the poultry industry for approximately 9 years in order to automatically assess the quality of slaughtered broilers, and thus: speed up the cut-up and/or packing processes. Quality control takes place on the basis of colour and shape recognition. The visible defects, which have to be identified, include, amongst others, haemorrhaging, abrasions and fractures. This type of quality control is plant and may therefore vary from plant to plant. On the basis of this selection system, a slaughter line system, which can be incorporated in the Dutch IKB programme, was developed some 5 years ago. The system allows assessment of the slaughtered birds oil the basis of previously established criteria. The visible defects to be identified include, amongst others, litter spots, ammonia burn and haemorrhages. The visible defects occurring are recorded by type and number and expressed per flock as a quality-rating figure by the system.
Keywords
broiler, carcasses, veterinary inspection, inspection system AQS, clinical signs, abnormal colour

Citation

Please use this url to cite or link to this publication:

MLA
Van Hoof, Jan, and Raymond Ectors. “Automatische Bewertung von Broiler-Schlachtkörpern Mittels Bildsystemen.” FLEISCHWIRTSCHAFT, vol. 81, no. 11, 2001, pp. 96–101.
APA
Van Hoof, J., & Ectors, R. (2001). Automatische Bewertung von Broiler-Schlachtkörpern mittels Bildsystemen. FLEISCHWIRTSCHAFT, 81(11), 96–101.
Chicago author-date
Van Hoof, Jan, and Raymond Ectors. 2001. “Automatische Bewertung von Broiler-Schlachtkörpern Mittels Bildsystemen.” FLEISCHWIRTSCHAFT 81 (11): 96–101.
Chicago author-date (all authors)
Van Hoof, Jan, and Raymond Ectors. 2001. “Automatische Bewertung von Broiler-Schlachtkörpern Mittels Bildsystemen.” FLEISCHWIRTSCHAFT 81 (11): 96–101.
Vancouver
1.
Van Hoof J, Ectors R. Automatische Bewertung von Broiler-Schlachtkörpern mittels Bildsystemen. FLEISCHWIRTSCHAFT. 2001;81(11):96–101.
IEEE
[1]
J. Van Hoof and R. Ectors, “Automatische Bewertung von Broiler-Schlachtkörpern mittels Bildsystemen,” FLEISCHWIRTSCHAFT, vol. 81, no. 11, pp. 96–101, 2001.
@article{149363,
  abstract     = {{Vision systems have been in use in the poultry industry for approximately 9 years in order to automatically assess the quality of slaughtered broilers, and thus: speed up the cut-up and/or packing processes. Quality control takes place on the basis of colour and shape recognition. The visible defects, which have to be identified, include, amongst others, haemorrhaging, abrasions and fractures. This type of quality control is plant and may therefore vary from plant to plant. On the basis of this selection system, a slaughter line system, which can be incorporated in the Dutch IKB programme, was developed some 5 years ago. The system allows assessment of the slaughtered birds oil the basis of previously established criteria. The visible defects to be identified include, amongst others, litter spots, ammonia burn and haemorrhages. The visible defects occurring are recorded by type and number and expressed per flock as a quality-rating figure by the system.}},
  author       = {{Van Hoof, Jan and Ectors, Raymond}},
  issn         = {{0015-363X}},
  journal      = {{FLEISCHWIRTSCHAFT}},
  keywords     = {{broiler,carcasses,veterinary inspection,inspection system AQS,clinical signs,abnormal colour}},
  language     = {{ger}},
  number       = {{11}},
  pages        = {{96--101}},
  title        = {{Automatische Bewertung von Broiler-Schlachtkörpern mittels Bildsystemen}},
  volume       = {{81}},
  year         = {{2001}},
}

Web of Science
Times cited: