Automatic classification of measures of lying to assess the lameness of broilers

Basit Öğe Kaydı
dc.authoridAydın, Arda / 0000-0001-9670-5061
dc.contributor.authorAydın, Arda
dc.contributor.authorBahr, C.
dc.contributor.authorBerckmans, D.
dc.date.accessioned2025-01-27T20:49:27Z
dc.date.available2025-01-27T20:49:27Z
dc.date.issued2015
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractLeg disorders are a major cause of poor welfare in broilers. Previous studies have shown that at slaughter age at least 90% of chickens experienced some degree of gait problems and approximately 30% were seriously lame. In this study, a new and non-invasive technique was developed to automatically assess the lameness of the birds. For this purpose, video surveillance images of broilers with five different pre-defined gait scores were recorded as they walked along a test corridor. Afterwards, the image-processing algorithm was applied to detect the number of lying events (NOL) and latency to lie down (LTL) of broiler chickens. Then, the results of the algorithm were compared with visually assessed manual labelling data (reference method) and the relation between these measures and lameness was investigated. Eighty-three percent of NOL were correctly classified by the automatic monitoring system when compared to manual labelling using a data set collected from 250 broiler chickens. The results also showed a positive significant correlation between NOL and gait score and a significant negative correlation between LTL and gait-score level of broilers. Since strong correlations were found, on the one hand, between two measures and gait-score level of broiler chickens and, on the other, between the results of algorithm and manual labelling, the results suggest this automatic monitoring system may have the potential to be used as a tool for assessing lameness of broiler chickens.
dc.identifier.doi10.7120/09627286.24.3.335
dc.identifier.endpage343
dc.identifier.issn0962-7286
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84940367457
dc.identifier.scopusqualityQ2
dc.identifier.startpage335
dc.identifier.urihttps://doi.org/10.7120/09627286.24.3.335
dc.identifier.urihttps://hdl.handle.net/20.500.12428/25166
dc.identifier.volume24
dc.identifier.wosWOS:000360486300011
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherUniv Federation Animal Welfare
dc.relation.ispartofAnimal Welfare
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectanimal welfare
dc.subjectautomatic monitoring
dc.subjectbroiler chickens
dc.subjectgait score
dc.subjectlameness
dc.subjectlatency to lie
dc.titleAutomatic classification of measures of lying to assess the lameness of broilers
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Arda Aydin_Makale.pdf
Boyut:
423.28 KB
Biçim:
Adobe Portable Document Format
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
Tarım Makinalari ve Teknolojileri Mühendisliği Bölümü Koleksiyonu