THE APPLICATION OF MACHINE LEARNING TO THE INNOVATIVE MANAGEMENT OF LARGE-SCALE PIG FARM
With the development of large-scale pig farming, the inherent equipment of intensive pig farms has been basically covered, and the breeding efficiency is close to the upper limit of manpower. Coupled with the difference in personnel skill proficiency and the increase in labor costs, it is necessary to further improve on the existing basis. Improving production efficiency has never been easy. The development of core technologies such as big data, Internet of Things, cloud computing, and data mining can integrate technologies or systems in various links, interconnect data, establish a complete set of data models and analysis systems, and realize the entire process of pig farming management. Greatly improve human labor efficiency and pig production efficiency. The emergence of artificial intelligence is a major change for the production and trade system of the future society, and it is also true for the pig industry. This study explores the application of core technologies in pig farms and obtains some new criteria, which will help improve machine learning capabilities, improve the level of artificial intelligence in pig farms, and improve pig farm productivity and management efficiency.
Big data, Data mining, Artificial intelligence, Pig farm, Productivity.