Design of Perception Layer for Monitoring System in Intelligent Animal Husbandry
Chang, Qianjun; Gao, Wanlin; Zhou, Weixin Source: 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023, p 34-38, 2023, 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023;
Abstract:
Due to a number of safety incidents caused by poor quality meat and dairy products in recent years, consumers have a serious crisis of trust in China's animal husbandry products, which is in urgent need of solutions. The corresponding problem is perfectly solved by the intelligent animal husbandry program proposed by our country. In intelligent animal husbandry, a monitoring system based on sensor technology is advocated to monitor the environmental information of livestock and the health information of individual livestock in real time. The system can ensure food safety through actual monitoring data and increase consumer trust in food. In recent years, the function of the monitoring system on the market is not perfect, so it is necessary to design a fully functional sensing layer. A fully functional sensing layer can enhance the credibility of the monitoring system data, and a variety of sensor devices in the sensing layer provide accurate data for the adjustment of the growing environment of livestock and the prevention and treatment of livestock diseases, thereby reducing the loss of farmers. At the same time, it helps farmers to improve breeding efficiency and reduce the burden of farmers, which plays an important role in the development of animal husbandry.
©2023 IEEE. (9 refs.)