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Classification of Cow Behavior using 3-DOF Accelerometer and Decision Tree Algorithm

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.

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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)
ID Code:1882
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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