Research And Implementation Of Intelligent Monitoring Greenhouse WebApp Based On Fuzzy Neural Network

In the era of rapid development of Internet industry,traditional ways of managing and controlling are affected.While China is a big agricultural country,the development of agriculture directly affects people's lives.In order to solve the problems of farmers' lack of knowledge about farmland scientific management,remote monitoring,and inaccurate collection data,the management mode is developed towards mobile and intelligent management.In addition,the amount of irrigation in the vegetable shed affects not only the crop yield but also the utilization of water resources.In many cases,irrigation is often too much,causing a waste of water resources.Crop water requirement has the characteristics of nonlinearity,randomness,fuzziness,and established a fuzzy neural network based on T-S model of water-saving irrigation model of irrigation amount to calculate.The model is combined with the intelligent monitoring greenhouse WebApp.The main contents of this paper are as follows:(1)This paper deeply studies the Web technology used in developing WebApp,including the working principle of Web front-end framework Angular2,and Spring framework,MyBatis framework and Mysql database based on Java language.(2)In this paper,a large number of data were reviewed to summarize the factors that mainly affect the quantity of irrigation in the vegetable greenhouse.(3)The working principle and application scene of fuzzy neural network are studied,and the T-S fuzzy neural network is used to study and train the water saving irrigation model.Finally,the model is used to predict the irrigation quantity,and the purpose of water saving irrigation is reached,and the results are used in the setting of water requirement in the WebApp greenhouse.(4)The development of WebApp application program,including the construction of the development environment and the design of related tables.Finally,we designed and implemented the modules of login / registration,control center,remote monitoring,real-time data monitoring,historical data query,remote operation and so on.The real-time monitoring of the greenhouse is realized,and the setting and checking of the environmental parameters such as temperature,humidity,carbon dioxide concentration and light intensity,as well as the functions of the remote control devices are realized.(5)Finally,the WebApp is tested,including hardware testing,software testing,andfunctional module testing.This paper combines fuzzy neural network algorithm and WebApp,not only realizes the automatic access to irrigation water to achieve the purposes of water saving irrigation,and compared with the original control method has greatly convenient for farmers to the management of the greenhouse.