›› 2018, Vol. 45 ›› Issue (11): 3112-3121.doi: 10.16431/j.cnki.1671-7236.2018.11.017

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A Cow Behavior Classification System Based on Semi-supervised Fuzzy Clustering Algorithm

WANG Jun1, TAN Ji1,2, ZHANG Haiyang1, ZHAO Kaixuan1   

  1. 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China;
    2. Nanyang Vocational College of Agriculture, Nanyang 473000, China
  • Received:2018-04-18 Online:2018-11-20 Published:2018-11-20

Abstract:

In order to determine the behavior of cows and improve the management level of fine feed,a Real-time identification system for cows' movement behaviors based on the semi-supervised fuzzy clustering algorithm was developed and the wireless sensor node was designed on the principle of low power consumption,high sensitivity and high operational stability.At the same time,the transmission performance of wireless sensor nodes was tested to determine the optimal transmission distance and the optimal node fixed height,in which the transmission distance were set at 10,20 and 30 m,while the fixed height were 10,20 and 30 cm,respectively.And the accuracy,precision and sensitivity of K-means algorithm,BP neural networks algorithm and semi-supervised fuzzy clustering algorithm were compared.The results showed that the wireless sensor node consist with three-axis accelerometer ADXL345,processor MSP430-F149,and wireless transceiver CC1101 which could collect data automatically of cows' movement behaviors,and meet the long-term reliable data transmission and other work requirements.The test results showed that the optimal transmission distance was 10 m and the optimal fixed node height was 30 cm.The accuracy,precision and sensitivity of semi-supervised fuzzy clustering algorithm were 95.4%,53.0% and 60.6%,respectively,that of K-means algorithm,BP neural network were 90.3%,39.9%,45.6% and 93.7%,45.5%,47.0%,respectively.In conclusion,the accuracy of semi-supervised fuzzy clustering algorithm was high,implementation was simple,learning complexity was low and running speed was fast,and it also had strong optimization ability.

Key words: cow behavior; Real-time discriminant; wireless sensor node; semi-supervisory fuzzy clustering algorithm

CLC Number: