Design And Implementation Of Forecasting And Early Warning System For Agricultural Products Market Prosperity Index

With the improvement of economic strength and the development of productivity,the state pays more attention to the development of agriculture.Today's agricultural development is closely related to the quality of people's lives,the allocation of social resources and the sustainable development of natural resources.The agricultural product market is an important part of agriculture.In recent years,the state has strengthened the forecasting and regulation of agricultural products markets,and frequently introduced policies to regulate the agricultural product market.However,there are many factors affecting the agricultural product market,such as the Sino-US economic and trade frictions that emerged in 2018.In the case of African swine fever,if the agricultural market volatility cannot be accurately predicted,the stable development of the agricultural product market cannot be guaranteed,which may have a great impact on the people's production and life and even on the national economic development.This paper proposes an agricultural product market climate index forecasting and early warning system,which uses the prosperity index forecasting model to analyze and forecast the agricultural product market,and provides guidance for selecting relevant factors for agricultural product market forecasting and reflecting the development trend and prosperity of the agricultural product market.The main research contents of this paper are as follows:(1)Demand analysis of agricultural product market prosperity index forecasting and early warning system.On the basis of literature research and model analysis,functional analysis and data flow methods are used to classify system requirements,and the functional and non-functional goals of the system are described.From the background,technology and operation,it reflects the feasibility of the system.Finally,system requirements are modeled through UML modeling.(2)The main functional flow design of the agricultural product market prosperity index forecasting and early warning system.Drawing on the idea of ECRS analysis,in the process of process optimization,the process of authority configuration,data management,basic analysis,and subject analysis was designed.(3)Modeling of agricultural product market prosperity index forecasting and early warning system.Based on the requirements analysis and process design,UML modeling language is used to model the static structure,dynamic behavior and physical structure of the system.Based on the system requirements and process design,based on the system modeling,the system architecture,database,system back-end and system function modules are designed in detail to facilitate the subsequent design and implementation of the system.(4)Realization of agricultural product market prosperity index forecasting and early warning system.On the basis of system design,web pages and server services are implemented.The web page implements system management,data management,basic analysis,theme configuration,topic analysis,and presentation layer configuration function modules.The service implements interactions with web pages and My SQL databases.