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2016, N 2 (24) |
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COMPUTER SCIENCE, COMPUTER FACILITIES
AND MANAGEMENT (IN AGRICULTURE)
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Antonov L. |
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Development of algorithm for the identification of latent mastitis cows based on multi-sensor data on livestock enterprises |
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The problem of the latent mastitis identifying on livestock enterprises considered. The necessity of identifying mastitis process automation proved. Biological methods for disease finding were analyzed. Signs that indirectly affect the occurrence of mastitis in cows were determined. Basic methods of data aggregation for the selection of complex sing were considered. New algorithm for mastitis animals identifying based on the combination of data from sensors in the livestock enterprise was proposed. The developed algorithm increased the accuracy of disease's identification by 6.5% compared with the conventional method of determining mastitis.
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