Research And Development Of Correlation Analysis System Between Large Yellow Croaker Fester Disease And Environmental Factors

With the rapid development of fishery technology,my country has mastered mature large yellow croaker farming technology.However,due to the rapid development and huge output,diseases of large yellow croaker farming have also continued to occur.Among them,large yellow croaker festers are the most serious,and large yellow croaker festers are closely related to changes in environmental factors.The judgment and analysis of the breeding environment in traditional artificial breeding still remain in the aspects of sample collection and empirical processing,and there is a lack of more efficient and convenient breeding.Analysis means.This paper uses the Internet of Things technology to build a water quality monitoring platform composed of multiple sensors.The data monitored by the platform include: water temperature,salinity,turbidity,p H,COD,DO,and ammonia nitrogen.At the same time,Lo Ra is used as a communication network for remote data transmission.Users can obtain relevant data of the breeding environment without site restrictions.On the basis of water quality monitoring,a fish disease analysis system based on correlation analysis is proposed.The traditional grey relational analysis algorithm has the same influence on the model of each factor when calculating the degree of relation,but in fact each factor has a different effect and influence on the system.This paper improves the traditional grey relational analysis algorithm by introducing weights when calculating the degree of relevance,and obtains more optimized relevance results.The GM(1,2)model is established by using the factors of water temperature and turbidity with a high degree of correlation.The model has an excellent fit level and an average accuracy of 84.03% for predicting infection rates,which meets the needs of users for accurate analysis and prediction of large yellow croaker disease.This system uses a convenient B/S architecture,the front end uses HTML,Java Script and other languages,the back end uses Java language,and My SQL is used as the database to form the association analysis system of large yellow croaker fester and environmental factors.The correlation analysis system of large yellow croaker fester disease and environmental factors can monitor the water quality data of the breeding environment in real time,and effectively use the data resources generated during the breeding process to construct an analysis and prediction model,which provides decision-making support for the breeding and disease prevention of large yellow croaker,and promotes my country’s large yellow croaker Yellow croaker aquaculture is booming.