Affiliation:
1. Fujairah Research Centre (FRC) Fujairah United Arab Emirates
2. Department of Theriogenology, Faculty of Veterinary Medicine Kafrelsheikh University Kafr El Sheikh Egypt
Abstract
AbstractThis study was conducted to assess the disparities in camel activities such as eating, drinking, sitting, standing, and sleeping between primiparous and multiparous females before parturition using computer vision. Also, any extraordinary behaviours during the final 2 h before parturition and the necessary manual interventions were meticulously recorded. Five primiparous (age: 4.5–7 years) and 7 multiparous (age: 8–14 years; parity: 2.1 ± 1.5) dromedary camels, were included in this study. Pre‐partum females were housed double in a parturition pen provided with two Reolink RLC‐810A cameras and the data were collected and recorded for each female. Two primiparous and 1 multiparous female required assistance in pulling the calf from both forelimbs to complete their parturition (27.3%). The drinking and sleeping activities were similar in primiparous and multiparous females during the recorded 32 h leading up to calving. Only eating activity exhibited a longer period in primiparous females compared to multiparous females specifically during the 12‐h before calving. Sitting activity was longer, and standing activity was shorter in multiparous than in primiparous females during the 24, 12, and 6 h before calving. All parturient camels, whether primiparous or multiparous, exhibited signs of distress. Some extraordinary behaviours were observed, such as two multiparous females attempting to deter their primiparous counterparts from eating. Additionally, three females displayed a distinctive standing position on their knees while their hind limbs were in a complete standing position for 3–5 min before transitioning to sitting or standing positions. Furthermore, one primiparous female stood while the head and forelimbs of the calf partially protruded from her vulva. In conclusion, the application of computer vision and deep learning technology proves valuable for observing prepartum camels under farm conditions, potentially reducing economic losses stemming from delayed human intervention in dystocia cases.
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