Monitoring behavior of poultry based on RFID radio frequency network

Authors

  • Zhang Feiyang 1. College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; 2. Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China; 3. Guangdong Province Key Laboratory for Land use and consolidation, Guangzhou 510642, China; 4. Guangdong Youyuan Land Information Technology Co.,Ltd, Guangzhou 510642, China
  • Hu Yueming 1. College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; 2. Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China; 3. Guangdong Province Key Laboratory for Land use and consolidation, Guangzhou 510642, China; 4. Guangdong Youyuan Land Information Technology Co.,Ltd, Guangzhou 510642, China;
  • Chen Liancheng 1. College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; 2. Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China; 3. Guangdong Province Key Laboratory for Land use and consolidation, Guangzhou 510642, China; 4. Guangdong Youyuan Land Information Technology Co.,Ltd, Guangzhou 510642, China;
  • Guo Lihong 5. College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
  • Duan Wenjie 5. College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
  • Wang Lu 1. College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; 2. Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China; 3. Guangdong Province Key Laboratory for Land use and consolidation, Guangzhou 510642, China; 4. Guangdong Youyuan Land Information Technology Co.,Ltd, Guangzhou 510642, China;

DOI:

https://doi.org/10.25165/ijabe.v9i6.1568

Keywords:

poultry behavior, monitoring, cloud computing, internet of things (IoT), radio-frequency identification, data mining

Abstract

Abstract: Poultry behavior monitoring is an important basis for the poultry disease warning. Manual monitoring is mostly used nowadays. In this work, the automatic monitoring system for assisting manual monitoring was examined. Sophisticated data mining techniques were used to leverage the data collected by RFID devices. Specifically, (1) weighing sensors and wireless networks of Multiple RFID-tag-collector groups were used to monitor the poultry behavior; (2) RFID tags were putted on individual poultry so that the moving time of the poultry between two RFID-tag-collectors could be recorded. Thus, the characteristic functions of poultry behaviors such as speed, ability to snatch food and resting time could be extracted based on the distance between two RFID-tag-collectors and the relevant time parameters; (3) the sick, normal, active and other poultry groups were categorized by using the K-means method which utilizing the behavior characteristics and poultry weight data in data mining. The results demonstrated that accurate classifications could be obtained according to the poultry characteristics, and the clustering results matched with the results obtained by manual method to identify the poultry groups. Consequently, the technique in this paper has great potential for large-scale poultry disease warning and poultry classification. Keywords: poultry behavior, monitoring, cloud computing, internet of things (IoT), radio-frequency identification, data mining DOI: 10.3965/j.ijabe.20160906.1568 Citation: Zhang F Y, Hu Y M, Chen L C, Guo L H, Duan W J, Wang L. Monitoring behavior of poultry based on RFID radio frequency network. Int J Agric & Biol Eng, 2016; 9(6): 139－147.

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Published

2016-12-01

How to Cite

Feiyang, Z., Yueming, H., Liancheng, C., Lihong, G., Wenjie, D., & Lu, W. (2016). Monitoring behavior of poultry based on RFID radio frequency network. International Journal of Agricultural and Biological Engineering, 9(6), 139–147. https://doi.org/10.25165/ijabe.v9i6.1568

Issue

Vol. 9 No. 6 (2016): IJABE

Section

Information Technology, Sensors and Control Systems

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