Research and application of early warning system for abnormal temperature of breeding pigs based on deep learning

Abstract

Based on deep learning, the early warning system for abnormal temperature of pigs can identify suspicious diseased pigs in advance, avoid group death and reduce the loss of a large number of diseases. It includes multi-domain cross-fusion, combining artificial intelligence machine vision image processing technology (CV), Internet of Things information technology (LOT), software engineering technology (STT), and traditional breeding technology (TFT). The CV technology is used for the hip identification and tracking of individual pigs. The LOT technology completes the real-time capture and monitoring of the body temperature of the individual pigs. The STT technology is used to send and receive network messages and implement an early warning system. Combining CV technology, LOT technology, STT technology and STT technology, a solution for automatic monitoring and real-time warning of the temperature measurement area of breeding pigs is proposed and implemented. The paper summarizes the technology used and details the design and implementation process of the system.