With the development of science and technology, China's aquaculture industry is developing in the direction of intelligence, and artificial intelligence technology has been widely used in aquaculture. In the farm, the monitoring of livestock environment is very important. This paper studies the application of artificial intelligence technology in the monitoring of livestock environment in intelligent farm, in order to elaborate the application and prospect of artificial intelligence technology in intelligent farm. In this paper, ZigBee technology and wireless Internet of things technology are used to realize the intelligent livestock environment monitoring system in the farm. Carbon dioxide monitoring, temperature and humidity monitoring and light monitoring are set up to monitor the livestock environment, and a pig house is selected to test the function realization. In addition, the performance of the system is also tested. The test results show that when the number of nodes is 1, the actual response time of the system is 0.38s, the expected value is 0.4s, when the number of nodes is 2, the actual response time of the system is 0.42s, the expected value is 0.45s, when the number of nodes is 9, the actual response time of the system is 0.76s, the expected value is 0.85s, when the number of nodes is 10, the actual response time of the system is 0.78s, the expected value is 0.9s. The results show that with the increase of the number of nodes, the response time of the system increases correspondingly, but it does not exceed the expected value, that is to say, the system in this paper has a great advantage in response time.

Aimei Song. Artificial Intelligence Technology in Intelligent Farm. International Journal of Multimedia Computing (2020), Vol. 1, Issue 3: 16-28. https://doi.org/10.38007/IJMC.2020.010302.

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