Research on the rabbit farm environmental monitoring and early warning system based on the internet of things

With the emergence of the intensive rabbit farms, raising conditions in a rabbit farm tend to become worse and worse. Under such a circumstance, if no manual intervention measures are taken on the farming environment, it would happen frequently that rabbits will suffer from various diseases to bring about some economic loss. In this paper, an internet of things-based rabbit farm environmental monitoring and early warning system is studied. Firstly, this paper proposes a system model based on the three-layer architecture of the internet of things. Then it chooses four environmental parameters that play a critical role in monitoring the rabbit farm. After that, this paper solves the error problem found in the sensor node and the data fusion problem in a single rabbit hutch. Finally, through the prediction algorithm and the reverse control, an early warning can be given in the rabbit farm. The verification result proves that this system can be controlled reliably with technical feasibility. Copyright © 2016 American Scientific Publishers All rights reserved.