Review of fishery forecasting technology and its models

Fishery forecast is an important research content of oceanography,which has the vital significance to the scientific production and management of fishery resources in fishery science.In recent years,with the development of modern statistics theory,the numerical calculation method,and data mining and artificial intelligence theory and technology,the development of fishery forecasting technology and model has displayed a new vitality.Therefore,the studies on the fishery forecasting technology and model development are reviewed,and the future development of fishery forecasting was put forward.In this paper,the theory and methods of fishery forecasting are summarized,including fishery oceanography,data models and prediction models related to this subject.Prediction models based on statistics methods and machine learning and artificial intelligence methods are emphasized,as well as the advantages and drawbacks of each kind of the forecasting model.Some research perspectives of fishery forecasting models are also proposed,i.e.developing ocean environments forecasting system,conducting systematic fishery resources survey of long standing and the standardization and normalization of fishery data acquisition and processing,reducing the uncertainty of prediction models with stochastic simulation methods and improving the prediction accuracy.