2013
DOI: 10.1016/j.biosystemseng.2013.03.002
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A computer vision-based system for the automatic detection of lying behaviour of dairy cows in free-stall barns

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Cited by 76 publications
(62 citation statements)
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“…Further tests will be performed with the AFS in comparable ambient conditions. An automated system, similar to that developed by Porto et al (2013Porto et al ( , 2015, for the efficient detection of position and activity of Technical Note the animals should be adopted which will allow for initiation of a further research phase for collecting data with an installed and functioning AFS. Additionally, it is important to underline that cows have more behavioural freedom when automated feeding systems are integrated with automated milking systems, an aspect that should be subject to further investigation.…”
Section: Discussionmentioning
confidence: 99%
“…Further tests will be performed with the AFS in comparable ambient conditions. An automated system, similar to that developed by Porto et al (2013Porto et al ( , 2015, for the efficient detection of position and activity of Technical Note the animals should be adopted which will allow for initiation of a further research phase for collecting data with an installed and functioning AFS. Additionally, it is important to underline that cows have more behavioural freedom when automated feeding systems are integrated with automated milking systems, an aspect that should be subject to further investigation.…”
Section: Discussionmentioning
confidence: 99%
“…Dairy cow behaviour was studied by the computer-vision based system for the automatic detection of dairy cow behaviour in free-stall barns developed in previous studies (Porto et al, 2013(Porto et al, , 2015. The computer-vision based system was composed of a multi-camera video-recording system and a software component, which executes cow behaviour detectors modelled by using the Viola-Jones's algorithm.…”
Section: Behaviour Analysis and Heat Stress Indicesmentioning
confidence: 99%
“…This time sampling interval is largely adopted in literature to study the dairy cow behaviours analysed in this study. The execution of the computer-vision based system allowed the detection of dairy cow behaviours with a high level of accuracy as proved by the good values of the sensitivity indices (i.e., approximately 92% for the lying behaviour and 86% for feeding and standing ones) which yielded the percentage of cow behaviours correctly classified over the total number of cow bred in the area of the barn under study (Porto et al, 2013(Porto et al, , 2015. Three different behaviours were analysed among those most frequently studied (Overton et al, 2002;DeVries et al, 2003aDeVries et al, , 2003bFregonesi et al, 2007;Provolo and Riva, 2009;Bava et al, 2012) because they are highly related to the comfort of dairy cows: i) feeding, which refers to the standing still position of the cows in the feeding alley with the head through the rack; ii) standing, which refers to the standing still position of the cows in the alley or inside the cubicle or to the deambulation; iii) lying, which refers to all the possible decubitus position of the cows inside the cubicle.…”
Section: Behaviour Analysis and Heat Stress Indicesmentioning
confidence: 99%
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“…The most striking aspect of this study is the postulation that positioning the LTS on the neck gave robust precision to the median number of records received from the animal. Porto et al (2013) invented a vision-based system for the automatic detection of the lying behaviour of dairy cows in free-stall barns and found a 92 % precision of RFID detection of various cow lying behaviours. An automatic livestock tracking programme can be a solution to trace livestock welfare problems (Huhtala et al 2007).…”
Section: Empirical Literaturementioning
confidence: 99%