The article is a study to develop an algorithm for early detection of lameness in cattle using data obtained from pedometers. The authors propose a model based on the analysis of activity and movement indicators of animals, with the aim of identifying anomalies in steps that may indicate the early stages of lameness. The proposed model and data processing process for determining lameness in cattle make it possible to effectively diagnose this disease in the early stages, which contributes to more effective treatment and reduction of losses in livestock production.
| Mualliflar | Самандаров, Б.С., Гелдибаев, Б.Е. |
|---|---|
| Jurnal | Ilim ha’m ja’miyet |
| Nashr sanasi | 2024-10-29 |
| Son | 5-1 |
| Betlar | 32-36 |
| Til | Rus |
моделлаштириш, чорвачилик оқсоқликни аниқлаш, маълумотларни қайта ишлаш, педометр маълумотлари, моделирования, животноводство, выявления хромоты, обработка данных, данные шагомеров, modeling, animal husbandry, lameness detection, data processing, pedometer data
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