Earticle

초록

영어

In view of the cow extensive farming, which lacks modern management tools, the cow estrus determine are often laid off. In this paper, a cow behavioral characteristic is designed. The system collects X, Y, Z axis acceleration data through triaxial accelerometer ADXL345, by ZigBee wireless network and RS485 sent to the information center, it’s based on the support vector of binary tree to classify their behavior. The result shows, the algorithm for cow’s stationary and moving classification accuracy was 93.26%, a slight and sharp motion accuracy was 84.81%, It provides an effective basis in judging cows in heat or in physical abnormalities. That system contributes to the refinement of cows feeding and health culture,and has great significance for the stable and healthy development of the dairy industry.

목차

Abstract
 1. Introduction
 2. System Design
 3. The Design of Hardware 
  3.1. The Design of Acquisition Activity Node
  3.2. The Design of Central Node and Routing Node
  3.3. The Design of RS485/RS232 Note
 4. Software Design of System
  4.1. Program Design of Acquisition Activity
  4.2. Data Collection
  4.3 Design of Model and Algorithm
 5. The Results and Analysis of Experiments
 6. Discussion
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Weizheng Shen [ School of Electrical and Information, Northeast Agricultural University Harbin, 150030, China ]
• Congcong Chen [ School of Electrical and Information, Northeast Agricultural University Harbin, 150030, China ]
• Shuang Zheng [ School of Electrical and Information, Northeast Agricultural University Harbin, 150030, China ]
• Shanjun He [ School of Electrical and Information, Northeast Agricultural University Harbin, 150030, China ]
• Mingda Li [ School of Electrical and Information, Northeast Agricultural University Harbin, 150030, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605