Almqvist, Viktor and Berg, Charlotte and Hultgren, Jan
(2021).
Reliability of remote post-mortem veterinary meat inspections in pigs using augmented-reality live-stream video software.
Food Control. 125
, 107940
[Research article]
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Abstract
Official meat inspections at remotely situated, small-scale slaughter houses and game handlings establishments fare associated with a relatively high cost of official control per inspected animal. By performing veterinary meat inspections via live-streamed video, this cost could be lowered. We aimed to evaluate how veterinary meat inspections at slaughter can be conducted remotely with the help of a camera-equipped non-veterinary technician on site. Specialized software and augmented reality technology were used. The remote inspection was compared to standard on-site veterinary meat inspection at a large-scale slaughter plant for pigs in Sweden during 2019. The remote and on-site inspectors recorded findings in 400 carcasses and organs arrested for further inspection. The comparison was based primarily on percentage agreement, Cohen?s kappa and prevalence- and bias-adjusted kappa (PABAK) as measures of agreement and reliability. The remote method was shown to display a high level of agreement for clear, easily distinguished findings (e.g. tail lesions, with an agreement of 92.3%, Cohen?s kappa of 0.77 and PABAK of 0.85). For more vague findings and subjective decisions, the performance was slightly lower (e.g. whether or not to condemn a carcass completely, with agreement 75.2%, Cohen?s kappa 0.32 and PABAK 0.50). Remote inspection appears to constitute a viable alternative for post-mortem meat inspection in pigs, given a sufficiently standardized method of inspection and sufficient inspection times. The performance of remote inspection probably depends on which persons use the method.
Authors/Creators: | Almqvist, Viktor and Berg, Charlotte and Hultgren, Jan | ||||||
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Title: | Reliability of remote post-mortem veterinary meat inspections in pigs using augmented-reality live-stream video software | ||||||
Series Name/Journal: | Food Control | ||||||
Year of publishing : | 2021 | ||||||
Volume: | 125 | ||||||
Article number: | 107940 | ||||||
Number of Pages: | 7 | ||||||
Publisher: | ELSEVIER SCI LTD | ||||||
ISSN: | 0956-7135 | ||||||
Language: | English | ||||||
Publication Type: | Research article | ||||||
Article category: | Scientific peer reviewed | ||||||
Version: | Published version | ||||||
Copyright: | Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0 | ||||||
Full Text Status: | Public | ||||||
Subjects: | (A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Food Science | ||||||
Keywords: | Abattoir, Augmented reality, Digital video communication, Remote guidance, Slaughter, Veterinary meat inspection | ||||||
URN:NBN: | urn:nbn:se:slu:epsilon-p-111648 | ||||||
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-111648 | ||||||
Additional ID: |
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ID Code: | 23381 | ||||||
Faculty: | VH - Faculty of Veterinary Medicine and Animal Science | ||||||
Department: | (VH) > Dept. of Animal Environment and Health | ||||||
Deposited By: | SLUpub Connector | ||||||
Deposited On: | 29 Apr 2021 13:43 | ||||||
Metadata Last Modified: | 16 Sep 2021 17:11 |
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