Cong Phi Khanh Phung and Dinh Chinh Nguyen and Thi Cham Trinh and Thi Vui Pham and Duc Tan Tran (2016) Classification of Cow Behavior using 3-DOF Accelerometer and Decision Tree Algorithm. In: The 3rd International Conference on Biomedical Engineering, 5-6 October 2016, Hanoi.
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.
|Item Type:||Conference or Workshop Item (Lecture)|
|Subjects:||Electronics and Communications|
Electronics and Communications > Electronics and Computer Engineering
|Divisions:||Faculty of Electronics and Telecommunications (FET)|
|Deposited By:||Assoc/Prof Duc Tan Tran|
|Deposited On:||08 Nov 2016 03:06|
|Last Modified:||08 Nov 2016 03:06|
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