Prediction of the Start of Parturition in Mares Using Camera Image Analysis
SSRN, ISSN: 1556-5068
2024
- 47Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This study aimed to detect characteristic changes in the behavior and body surface temperature (BST) of pregnant mares before parturition using camera image analysis. A total of 53 pregnant Thoroughbred mares, which were individually stabled in box stalls, were included in this study. The mares were continuously monitored using a digital camera system comprising a thermal imaging camera and a visible camera. For the automatic determination of the x and y coordinates of each mare, the centroid of the mares was calculated using image processing software. Subsequently, trajectory analysis was performed using image analysis software. Distances moved were calculated using coordinate data. BST was measured using infrared thermography to measure the average BST. The difference between BST and ambient temperature was adopted to account for the influence of ambient temperature. On the day of amniorrhexis, the distance moved by the pregnant mares increased significantly more than that 2 days before amniorrhexis and was the greatest at 2-1 h before amniorrhexis. Furthermore, BST at 6 h before amniorrhexis tended to increase as amniorrhexis approached. A significant increase in BST was observed at 1-0 h (P < 0.05). 96.2% of the mares showed an increase in either activity or BST, which indicates the benefit of employing multiple parameters.
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