STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Design of a Live Pig Breeding System Based on ZigBee
DOI: https://doi.org/10.62517/jike.202304204
Author(s)
Shihua Song*, Changyu Liu, Chenyu Liu, Tengfei Zhao, Xinqiang Lan
Affiliation(s)
Hebei University of Science & Technology, Yuxiang Street, Shijiazhuang, Hebei, 050024,China * Corresponding Author
Abstract
This paper designed a breeding system based on ZigBee. The system consists of an environment detection module based on ZigBee technology and a video monitoring module based on BP neural network algorithm. The environment detection module is a wireless sensor network based on ZigBee technology. The sensors with different functions interact with the data through the ZigBee wireless communication module, and monitor the environment under the coordinated control of the router and the main control. The video surveillance module adopts the deep learning mode based on BP neural network algorithm, with Raspberry PI as the main control unit, and equipped with deep learning algorithm to identify the body temperature and behavior of pigs, and facilitate the management of pigs by users. The system can effectively monitor the environment of pig houses, the behavior and health of pigs, and improve the efficiency of breed ink the data.
Keywords
Breeding System; ZigBee Technology; BP Neural Network; Algorithm Monitoring Terminal
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