2023
DOI: 10.1016/j.atech.2022.100117
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Estimating body weight in conventional growing pigs using a depth camera

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Cited by 6 publications
(3 citation statements)
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“…Body weight recording was the subject of the ClearFarm project [ 39 ]. The automated estimation of body weight was conducted by a depth camera (iDOL65, dol-sensors a/s, Aarhus, Denmark) [ 52 ] placed above the individual feeding station or three-partitioned feeder, which worked in combination with an RFID system installed in the feeding stations. The performance of the depth camera and its underlying algorithm was satisfactory at both installations; however, a lack of frequent maintenance, changes in pens’ uniformity and dietary shifts may compromise image sampling and body weight estimation.…”
Section: Scientific and Commercial Review Of Operational Concepts And...mentioning
confidence: 99%
See 1 more Smart Citation
“…Body weight recording was the subject of the ClearFarm project [ 39 ]. The automated estimation of body weight was conducted by a depth camera (iDOL65, dol-sensors a/s, Aarhus, Denmark) [ 52 ] placed above the individual feeding station or three-partitioned feeder, which worked in combination with an RFID system installed in the feeding stations. The performance of the depth camera and its underlying algorithm was satisfactory at both installations; however, a lack of frequent maintenance, changes in pens’ uniformity and dietary shifts may compromise image sampling and body weight estimation.…”
Section: Scientific and Commercial Review Of Operational Concepts And...mentioning
confidence: 99%
“…Body weight recording was the subject of the ClearFarm project [39]. The automated estimation of body weight was conducted by a depth camera (iDOL65, dol-sensors a/s, Aarhus, Denmark) [52] placed above the individual feeding station or three-partitioned feeder, which worked in combination with an RFID system installed in the feeding stations.…”
Section: Scientific and Commercial Review Of Operational Concepts And...mentioning
confidence: 99%
“…Besides, remote monitoring allows animals to walk freely, and avoid the stress caused by the presence and handling of humans. In pigs, for example, BW can be estimated with images applying a neural network (Cang et al, 2019) or a YOLO-based algorithm (Franchi et al, 2023). To date, however, we have not found a study estimating BW based on deep learning using 3D…”
Section: Introductionmentioning
confidence: 99%