Classification of cow behavior using 3-DOF accelerometer and decision tree algorithm
| Autor: | Pham Thi Vui, Phung Cong Phi Khanh, Trinh Thi Cham, Tran Duc Tan, Nguyen Dinh Chinh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0106 biological sciences
Engineering Decision support system business.industry 010604 marine biology & hydrobiology Decision tree learning Machine learning computer.software_genre Accelerometer 010603 evolutionary biology 01 natural sciences Accelerometer data Artificial intelligence business computer Simulation |
| Zdroj: | 2016 International Conference on Biomedical Engineering (BME-HUST). |
| DOI: | 10.1109/bme-hust.2016.7782100 |
| Popis: | Monitoring cattle motion is essential, since it helps farmers to take a comprehensive view of the cattle's health and estrus time. However, the issue is not able to supervise the cattle in a long time and raising many cattle especially. Therefore, this paper aim to build a device which can sense the states of behavior actives and researches a method to prognosticate the cattle's health by using a cattle monitoring device that can record the 3-axis acceleration to analyze. This sensor is used to measure three-axis accelerometer data on the natural behavior of Vietnamese Yellow cows that live in a cage. The data of the accelerometer output signal are used to modify a simple behavioral classification such as: lying, standing and feeding. Therefore, we can identify some of cattle health events like lameness and estrus cycle. The classification results were tested with the model of the cow. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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