2018
DOI: 10.1016/j.biosystemseng.2018.05.008
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Real-time monitoring of broiler flock's welfare status using camera-based technology

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Cited by 60 publications
(44 citation statements)
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References 15 publications
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“…The eYeNamic™ camera system is produced commercially by Fancom BV and collects and processes images in order to monitor chickens’ distribution and activity, which “can be conceived as valuable indicators of animal welfare” [38]. It should be noted that some of the prototype systems in this review used the commercially available eYeNamic™ cameras, but as the systems themselves were prototypes the publications were categorised as such (e.g., [48]). Conversely, publications that involved the use of commercial sensors described investigations of where best to place these sensors, and so could be categorised as commercially available systems (e.g., [41]).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The eYeNamic™ camera system is produced commercially by Fancom BV and collects and processes images in order to monitor chickens’ distribution and activity, which “can be conceived as valuable indicators of animal welfare” [38]. It should be noted that some of the prototype systems in this review used the commercially available eYeNamic™ cameras, but as the systems themselves were prototypes the publications were categorised as such (e.g., [48]). Conversely, publications that involved the use of commercial sensors described investigations of where best to place these sensors, and so could be categorised as commercially available systems (e.g., [41]).…”
Section: Discussionmentioning
confidence: 99%
“…Of the papers with animal health and welfare as the sole primary goal, most of the measurements used to monitor the birds were locomotory behaviour-based (43.81%). Locomotory behaviour included activity, distribution and occupation patterns (e.g., [48,53]), movement (e.g., [54]) and movement-related variables such as speed, step frequency, step length and the lateral body oscillation [55], location within the environment (e.g., [30]), optical flow (e.g., [56]), ranging behaviour (e.g., [57]), and clustering behaviour ([58]). The second largest proportion of publications (20.95%) used vocalisations [59] or bird sounds.…”
Section: Discussionmentioning
confidence: 99%
“…Flock behaviour in broiler production Although not at the individual animal level, the behaviour of a broiler flock has recently been correlated to specific welfare problems in the broiler production. Fernández et al (2018) used the commercially available PLF camera system to extract values on the activity and occupation patterns of a broiler flock. They found a positive relation between the deviations in occupation patterns and the footpad lesion scores indicating that birds, which tend to cluster together for long periods, present an increased chance of having higher levels of footpad lesions.…”
Section: Norton Chen and Larsenmentioning
confidence: 99%
“…The analysis of movement, distribution, and activity of a flock can provide important information on the welfare status of the animals. Technology to capture broiler distribution was used to predict thermal comfort of young chicks [46]; to evaluate the relationship between individual behaviour and optical flow [47]; and to assess mortality, gait abnormalities, hock burn, and foot pad dermatitis on flock basis [23,[48][49][50][51][52][53]. Moreover, it was utilized to analyse poultry eating and drinking behaviour [24], to detect equipment malfunctioning [54], and to monitor animals in broiler houses [55] and as part of a set of technologies used to provide an easy tool for farmers to assess production, environmental, and behaviour data in a broiler house [28].…”
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%