Performance evaluation of a multi-stage classification for cow behavior

Khanh, Phung Cong Phi; Long, Ton That; Chinh, Nguyen Dinh; Tran, Duc–Tan

doi:10.1109/sigtelcom.2018.8325774

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Cited by 2 publications

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“…Note that, we can compromise among these factors by adjusting three thresholds (A, B1, and B2). By using the decision tree algorithm, this work can classify 4 different activities of cows (in [15], the authors only concerned to classify 3 activities which are standing, lying, and feeding).…”

Section: Flowchartmentioning

confidence: 99%

Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements

Khanh¹,

Nguyen²,

Nguyen³

et al. 2019

IJECE

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Cow’s behavior classification helps people to monitor cow activities, thus the health and physiological periods of cows can be well tracked. To classify the behavior of cows, the data from the 3-axis acceleration sensor mounted on their neck is often used. Data acquisition and preprocessing of sensor data is required in this device. We acquire data from the 3-axis acceleration sensor mounted on the cows’neck and send to the microcontrollter. At the microcontroller, a proposed decision tree is applied in real-time manner to classify four important activities of the cows (standing, lying, feeding, and walking). Finally, the results can be sent to the server through the wireless transmission module. The test results confirm the reliability of the proposed device.

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Section: Flowchartmentioning

confidence: 99%