Design And Implementation Of Intelligent Irrigation System For Greenhouse Tomato In Western Yunnan

China’s agriculture has a long history and various agricultural industries are rich in structure,but agricultural products are still mainly food crops to meet the needs of food and life.At present,economic and agricultural development in western are slower than that in the middle areas of Yunnan,where has relatively rich water resources.Research results on the growth laws of local crops are relatively scarce.The amount of water is often too much or too little,resulting in an ineffective increase in crop yield and quality.Therefore,it is necessary to study the water requirements of crops in this area to determine their adaptive irrigation schemes,and avoid large or small irrigation patterns and switch to appropriate on-demand irrigation.Due to the relatively high water requirement of tomato,non-appropriate irrigation will cause premature fruit drop and sparse sugar,so the paper used as a model crop and determined the details of adaptive irrigation schemes in greenhouses with higher yield and quality as the goal,while achieving intelligent agricultural management.Under this premise,with the research on the changes of tomato water demand,the determination of irrigation decision details based on the water demand modulus,and the realization of a convenient management platform as the core,according to the soil physical conditions in the western Yunnan area,through the existing indoor meteorological data and tomato cultivation test data,simulated the laws of soil evaporation and water demand in various stages of tomato growth,then designed and implemented a smart irrigation system based on Web.The main research contents of the paper are as follows:（1）In order to study the changes of water requirement of tomato,this paper revised the localized parameters of SIMDual＿Kc model and rated the basic test data.After the correction,the calculated and measured values of the model were 0.954 for(9(9and 0.901for²,which can well simulate the change of soil water content during tomato growth.And finally the invalid water consumption in various tomato morphological stages were analyzed.（2）The general characteristics of tomato crop planting were summarized,the adaptive irrigation scheme based on the meteorological data in the greenhouse and the water demand modulus of tomato in various morphological stages were determined,and then the calculation method suitable for net radiation in the area was explored.（3）According to the actual functional requirements of the irrigation scheme,the software and hardware design of the moisture collection and drip irrigation execution module were carried out,and then the host computer communicates with the 485 device based on the Modbus-RTU communication protocol,and the GUI graphical interface tool were developed based on the Swing package to facilitate the collection of equipment Batch debugging,CRC check and abnormal inspection,etc..（4）According to the B/S architecture,an automated irrigation management platform was implemented.Based on the Vue.js framework,the design of the Web browser architecture was completed,and the system decision-making,planting area,sensor and other information display functions were realized.And based on the Spring Boot back-end framework,the server-side development was completed,which was responsible for data interaction with the front-end page and acquisition module Interaction,decision-making services for irrigation schemes,interactive services using My Batis technology and MySQL,etc.