2017
DOI: 10.1016/j.compag.2017.02.019
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Development of an early detection system for lameness of broilers using computer vision

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Cited by 72 publications
(50 citation statements)
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“…Selective practices have attempted to breed turkeys that minimally waddle, but this movement may be necessary to sustain a stable gait. Others have suggested improvements to gait scoring by focusing on characteristics of a balanced gait and even applying camera monitoring with image analysis of lateral oscillations, which we also support to improve gait heritability (Aydin, 2017;Duggan et al, 2016Duggan et al, , 2017. The domestic turkeys displayed a consistent pattern of kinematic and kinetic gait parameter relationships with A B ‡ ‡ Fig.…”
Section: Discussionsupporting
confidence: 68%
“…Selective practices have attempted to breed turkeys that minimally waddle, but this movement may be necessary to sustain a stable gait. Others have suggested improvements to gait scoring by focusing on characteristics of a balanced gait and even applying camera monitoring with image analysis of lateral oscillations, which we also support to improve gait heritability (Aydin, 2017;Duggan et al, 2016Duggan et al, , 2017. The domestic turkeys displayed a consistent pattern of kinematic and kinetic gait parameter relationships with A B ‡ ‡ Fig.…”
Section: Discussionsupporting
confidence: 68%
“…Strong co-relation was predicted (p < 0.001) for footpad incidence in broilers with thermal temperature and humidity index [23]. Several other studies proposed the fully automated monitoring system for early detection of lameness [34][35][36].…”
Section: Plf In Improving Management Health and Welfare And Feedingmentioning
confidence: 90%
“…Image technologies have been used to evaluate broiler behaviour under different light intensities [29], under different thermal conditions [27,30], under distinct stocking densities [31,32], under different gait scores [33], and during their slaughter [34,35]. Additionally, digital video recording was used to help the development of methods and algorithms to detect lameness in broiler chickens [36][37][38][39][40][41][42] and to analyse behaviour of isolated chicks [43]. It was also used to assess short-term feeding behaviours [44] and to analyse possible changes in behaviour of animals using a tag to monitor their movement [45].…”
Section: Image Technologiesmentioning
confidence: 99%
“…Algorithms were identified in 23 papers, representing 40.4% of total publications. They were primarily used to process image data involved with the detection and assessment of broiler lameness and/or leg disorders [23,[36][37][38][39][47][48][49][50][51][52][53]55], to characterize chick behaviour under different temperatures [46] and other environmental conditions [30], to detect equipment malfunctioning [54], and for early detection of sick broilers [69]. In addition, they were used to process sound data and to provide information about feeding and/or drinking behaviours [24,44], to automate the detection of footpad dermatitis along the slaughter line [68], to define the best positions to install CO 2 sensors in a broiler house [75], to control broiler chickens growth curve [81], and to develop an innovative image display tool that allowed farmers to assess broilers' living conditions [28].…”
Section: Algorithmsmentioning
confidence: 99%