| Autor: |
Mahaboob, M., Fathima, B. Anish |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2915 Issue 1, p1-8, 8p |
| Abstrakt: |
Health of Livestock is one of the growing concerns in today's world due to the increased population and the increased need for Dairy products. So, a regular checkup is required to improve the cattle's life duration and be kept in good health. Many dairies and farms have many farm animals, making it tough to care for them and routinely monitor the health of dairy cattle. The livestock health monitoring system aims to monitor each cattle's health. In this system, we use the Internet of Things and machine learning to observe the aspects of cattle's physical characteristics like temperature, heart rate, etc. In this paper, we have discussed the existing approaches to monitoring cattle's health and location tracking. Finally, a method has been discussed to improve the efficiency of the process. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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