Application progress and prospect of machine learning applied to fishery research

The era of fishery big data has come.Some countries have started to carry out fishery big data research.Machine learning is an indispensable and effective means for big data research.Applying machine learning technology in fishery research is very necessary and important to make up for the deficiency of fishery big data analysis and application,and to develop the digital and intelligent fishery in China.The present situation and developing trend of applying machine learning to fishery research at home and abroad were studied by literature analysis.Based on the current research results of machine learning technology in fishery production,fishery classification,water quality detection,target recognition,fishery services and other fields,it was thought that machine learning had played an important role in fishery research.But machine learning was used for micro research more than macro research.And it was used for static research more than dynamic research.It was used even rarer to study interactively with other industries.At present,intelligent fishing products and some fishery observation cloud platforms had emerged.The technologies of Internet of Things also facilitated the widespread use of machine learning in fishery research.Strengthening the hardware infrastructure construction of Internet of Things,and strengthening the cooperation and integration with upstream data were the only approach for machine learning's being widely applied in fishery research.Now,machine learning had a promising future in the research fields such as fishing activities' supervision,fishery ecological simulation and producing a variety of daily necessities with fishery products.