The Development And Application Of Smart Coffee Expert System On Mobile Phone

Yunnan coffee industry has gradually grown into a typical representative of Yunnan plateau characteristic agricultural industry,and has become an important agricultural product for China to participate in global market competition.Due to the lack of experience,a large number of managers lack standardization and quantification of water and fertilizer application,and there is no good consulting service system as a support.The lack of information platform and the one-sided pursuit of high yield not only cause a lot of waste of resources,but also cause environmental pollution.Therefore,it is of great practical significance to study the expert system of coffee planting technology by using advanced information technology and standardized facility agricultural production management experience,which can avoid the blindness of planting and management to the greatest extent and improve economic benefits.In this paper,aiming at the problems existing in the promotion and popularization of the existing agricultural expert system,based on the theory of coffee planting management and cultivation technology,using artificial intelligence,data storage and other information technologies,a mobile version of the intelligent coffee expert system was developed.The system uses Android,i OS and We Chat applet as the operating platform to realize the full support and service of coffee planting management.The main results are as follows:1.The first is the system ’s learning area module,which mainly includes coffee planting resources,coffee tree pest control,coffee planting management and other aspects.This module covers all aspects of coffee planting and management,and provides detailed introduction and knowledge points,which is convenient for users to learn and improve.2.At the same time,the system also sets up an expert answering module to invite professional coffee planting managers to answer users ’ questions and questions,which enhances the practicability and authority of the system.Secondly,setting the identification and reporting module is another important function of the system.Users can identify and report photos of species,pests and diseases through this module,which is convenient for users to identify and feedback in real time,and improves users ’ participation and interaction.3.Secondly,the system also uses a decision support system for data management and analysis,providing comprehensive and accurate coffee planting management information and decision support,providing users with better management and decision support.In addition to the above functional modules,the system also sets up a knowledge base module,which provides a detailed introduction and prevention methods of species and pests,so as to facilitate users to consult and understand.4.Finally,the system also provides a personal center module,including ’ my question,questionnaire survey,weather forecast,integral query,my identification report,knowledge base,learning record ’ and other functional modules,which is convenient for users to manage personal information.The development of the system uses Java,HTML5 and other language foundations and related technologies,including Spring Boot,Spring Security,Maven,Redis,JPA,Git,Nginx and so on.The database uses My SQL,and the decision support system is used for data management and analysis.In terms of system expansion and application,the function and performance of the system can be further improved,and the user ’s sense of participation and interaction can be enhanced.