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- W4309348706 abstract "At the moment, devices for monitoring the physiological condition of the animal are beginning to play an increasingly important role. These devices and systems allow for operational control and monitoring of the animal 24 h a day, 7 days a week, which allows specialists and engineers to make effective decisions on cattle management. The purpose of the paper: the development of models, analysis of methods and systems that allow predicting and assessing the physical condition of animals, detecting, and preventing diseases in cattle in real time. As a result of our analysis, we identified 25 promising studies and technologies that tested the accuracy and conditions for improving the accuracy of various monitoring devices for dairy herd animals to measure the duration and number of activities under different conditions, with different frequency, sampling intervals and editing criteria. This paper provides an overview of other popular studies conducted on cattle. The authors define the current state, problems, and possible ways of further development of dairy cattle health monitoring and herd management technologies based on visual feature recognition using artificial neural networks." @default.
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- W4309348706 date "2022-11-17" @default.
- W4309348706 modified "2023-10-14" @default.
- W4309348706 title "Analysis of Technologies for Visual Tracking of Physiological Condition of Cattle" @default.
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- W4309348706 doi "https://doi.org/10.1007/978-981-19-7780-0_23" @default.
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