Research And Application Of Cross-platform Greenhouse Production Management And Pest Decision System

With the continuous improvement of China’s information technology,the development of modern agriculture is the inevitable process of China’s agricultural development.How to take use of advanced information technology and the rapid developing Internet platform,find out the connection between Internet and agricultural production,and then create a new ecological environment for agricultural development,are the most important issues of agricultural informatization.As an important part of modern agriculture,the development of greenhouse is very important.However,with the expansion of agricultural greenhouse,many problems in the development process also occurred gradually: Lost of labour control in management process,the use of manual recording of data,the original method,the low utilization rate of resources,resulting in data redundancy,information which cannot be shared and poor timeliness.Lack of a good decision analysis on the data collected,single mode of production management,waste of information technology resources;lack of professional production technology guidance,and the low efficiency of agricultural facilities.This paper mainly studied the cross-platform greenhouse production management and pest decision system.Based on the research purpose and significance,this paper made full use of the Internet technology to build a greenhouse management system for mobile intelligent terminal.However,the platform used by mobile intelligent terminal equipment now is quite different and not compatible with each other.Therefore,the problems of cross platform application is in urgent need of solution.In this paper,the technology of DCloud HTML5+ and MUI front-end framework was used to solve the problem of the incompatible platforms,thus achieved the effect of cross platform.On the basis of above,case-based reasoning technology was used to assist the decision making of the pests and diseases in the greenhouse production,and the case classification technology was introduced before the case retrieval,so as to improve the efficiency and accuracy of case retrieval.Aiming at the problems of pests and diseases,we described the problems of text feature sparse and context dependent,A BTM topic model suitable for short text classification and an improved square statistical feature selection method was proposed,so as to solve the problem through the integration of features.After analyzing the various requirements in the production process,the whole design of the system was carried out.The mobile client mainly took use of HTML5+ and MUI front-end framework to implement the management of user interface and the greenhouse information.Server side took use of the method of combining SSH framework and Tomcat server to complete complex business logic.Through the development of mobile client and server,which realized the function of information management and assistant decision-making of greenhouse production,thus made the system interface simple,beautiful,with good performance and providing a good technical foundation for the system.