Temperature Monitoring and Analysis of Low-power Breeding Pigs Based on Machine Learning

Abstract

In view of the problems of poor accuracy and low efficiency of current breeding pig body temperature measurement and lack of further research of body temperature data, the domestic LP5100 low-power embedded chip, combined with ADT7320 high-precision temperature detection chip and LoRa communication module, is integrated into an electronic ear tag, which is able to worn on the tested pig, can quickly and efficiently carry out high-frequency and accurate measurement of the breeding pig. The data will be transmitted to the background gateway for summary, analyzed by the artificial intelligence training model, and then transferred to the terminal equipment through the form of web page, WeChat Mini Programs and so on. So that using temperature measurement data to determine whether pigs have a fever in real time, which would dramatically improve the efficiency of breeding. In this paper, a machine learning training model is established to give accurate guidance of healthy body temperature and set up an alarm.