Development and application of management and control system for intellectual sheep breeding based on Internet of Things platform

In recent years, there are 10000 sheep farms in China. With the joint efforts of the whole industry, the standardized and large-scale breeding of livestock and poultry in China has developed rapidly, and a number of large-scale modern breeding enterprises have emerged. The promotion and application of new varieties, new technologies and new equipment have been accelerated, and the level of mechanization, informatization and intelligentization has been continuously improved. According to the current situation of intensive farming in sheep industry, our team successfully established “Jiyang” intelligent farming management and control system, and completed the system development and application test in the demonstration farm. The system shared and transmitted sheep data by integration of Internet of Things data, and improved the sheep farm management by the AIoT (artificial intelligence & Internet of Things) platform; intelligent control was achieved by collecting environmental control data; the usage of water, electricity and materials are clarified so as to accurately collect production data and master production costs; the energy consumption was accurately collected in actual time to achieve the increase of production and efficiency. By means of convolution algorithm and deep learning technology, AI (artifical intelligence) inventory technology is well developed to improve feeding management efficiency and then achieve disease diagnosis and traceability management. This study conducted a systematic application test on the platform, and tested the function of feeding management and AI inventory. The results showed that the data transmission of feeding management was accurate, the management function could be realized, and the accuracy of AI inventory function was 98%, far higher than expected. The development and utilization of this platform will introduce the digital management system into the sheep farm, laying a foundation for improving the intensive production level of the sheep industry.