Research Progress of Aquaculture Environmental Factor Prediction Model Based on Machine Learning

The accurate aquaculture environmental factors prediction model is established using big data technology and machine learning algorithm. It has become a research hotspot because it can accurately predict water quality, strengthen water quality management and reduce aquaculture risks. This paper introduces the characteristics and innovations of aquaculture water quality prediction models based on shallow machine learning and deep learning. It expounds on the primary process and standard methods of aquaculture environment factor prediction models based on machine learning. Analyzing the model performance index, the integrity of data collection, scientific processing, and the rationality of the model-building method is the basis for establishing a high-quality model. At the same time, it also points out the existing problems of empirical determination model structure and the need to accelerate the collaborative development of water environment monitoring technology and water environment prediction technology in the future to establish an intelligent water environment regulation system and promote the development of intelligent aquaculture.