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Automatic recognition of ingestive-related behaviors of dairy cows based on triaxial acceleration

Information Processing in Agriculture 2020年第3期7卷 427-443页

作者： Weizheng Shen Fei Cheng Yu Zhang Xiaoli Wei Qiang Fu Yonggen Zhang College of Electrical and Information Northeast Agricultural UniversityHarbin 150030China College of Animal Science and Technology Northeast Agricultural UniversityHarbin 150030China

ingestive-related behaviors including feeding and ruminating are important indexes to measure the health and welfare of dairy *** purpose of this study is to develop a method based on triaxial acceleration to automatically recognize feeding and ruminating of dairy *** the experiment,five diary cows raised in a barn were used as experimental subjects.A triaxial acceleration sensor was used as the device to collect jawmovement data of dairy cows,and the behaviors of dairy cows were classified into three categories:feeding,ruminating and other *** features of time-domain and frequency-domain were extracted from the raw acceleration *** machine learning algorithms including k-nearest neighbor,support vector machine and probabilistic neural network were used for the classification and the results based on four different data segment lengths were *** results show that the three algorithms can be used for recognition of feeding and ruminating with high *** the condition that the sampling frequency of the sensor is 5 Hz,the combination of data segment length of 256 and k-nearest neighbor algorithm is the best scheme for recognition of feeding and ruminating in this *** precision and recall of recognition for feeding were 92.8%and 95.6%respectively,and those of recognition for ruminating were 93.7%and 94.3%*** specificity and AUC of recognition for feeding were 96.1%and 0.959 respectively,and those of recognition for ruminating were 97.5%and 0.959 *** will provide an effective method for real-time monitoring of ingestive-related behaviors of dairy cows and lay a foundation for prediction of dairy cows’health status and welfare to further achieve the purpose of disease prediction and adjusting feeding and management methods.

关键词： recognition of ingestive-related behaviors Triaxial acceleration Machine learning

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