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IoT-based measurement system for classifying cow behavior from tri-axial accelerometer 65
Wang,Jun; He,Zhitao; Ji,Jiangtao; Zhao,Kaixuan; Zhang,Haiyang.
ABSTRACT: A cow behavior monitoring system based on the Internet of Things (IoT) has been designed and implemented using tri-axial accelerometer, MSP430 microcontroller, wireless radio frequency (RF) module, and a laptop. The implemented system measured cow movement behavior and transmitted acceleration data to the laptop through the wireless RF module. Results were displayed on the laptop in a 2D graph, through which behavior patterns of cows were predicted. The measured data from the system were analyzed using the Multi-Back Propagation-Adaptive Boosting algorithm to determine the specific behavioral state of cows. The developed system can be used to increase classification performance of cow behavior by detecting acceleration data. Accuracy exceeded...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Internet of things; Tri-axial accelerometer; Multi-BP-ada Boost algorithm; Cow behavior classification.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000600653
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