Abstract: Incubation technology is one of the key technologies in the poultry incubation industry. In order to solve the problems existing in current incubation technology such as low real-time monitoring and low precision of regulation, a visual monitoring system based on LoRa and NB-IoT technology was designed. This system combined the advantages of LoRa and NB-IOT technologies to upload the incubation environment parameters to the OneNET cloud platform. The cloud platform processed the data and deployed the temperature and humidity prediction model based on the BP neural network to realize the remote monitoring of environmental parameters on PC and mobile terminals. The experiment showed that the system was easy to operate, real-time, and accurate in remote monitoring, and the communication success rate was 98.7%. The hatching rate and healthy hatching rate were 94% and 97.87%, respectively. The cost of incubation management was reduced, and the hatching rate and healthy hatching rate were improved. This system promotes the poultry hatching industry towards information and intelligent development.