Research And Implementation Of Intelligent And Precision Production Management And Control System For Tomatoes In Greenhouse

Solar greenhouse is the most widely used form of agricultural facilities in China,and greenhouse tomato is an important vegetable variety with extensive planting area in solar greenhouse.At present,the whole production of greenhouse tomato in China is still at a low level,and the cultivation process mostly depends on the historical experience of operators.There are many problems,such as strong subjectivity,low degree of mechanical intelligence,and inaccurate environmental control.In order to better meet the needs of tomato production environment,intelligent and accurate control of greenhouse environment is required.This thesis relies on Anhui Agricultural Science and Technology Achievements Transformation Project,takes tomatoes planted in Taoxi Hongguang Experimental Base in Shucheng,Lu’an,Anhui as the research object,and integrates LoRa network data communication technology,expert PID fuzzy control algorithm,Internet of Things technology,and Internet technology of front and rear end separation to achieve real-time monitoring of greenhouse environment and intelligent and accurate remote operation of Internet of Things equipment for tomato growth environment regulation.The main work includes the following three aspects:(1)Build a data collection system for key environmental factors of greenhouse tomato based on LoRa.Analyze the main environmental factors that affect the tomato in each cycle,develop the environmental factor information collection node,integrate air temperature and humidity,soil temperature and humidity,light intensity and other sensors,and realize the reliable collection of key environmental factors of tomato in facilities.Research the networking and data transmission methods of wireless sensor networks based on LoRa in the greenhouse environment.Using the data communication architecture of nodes and gateways,construct the deployment of information collection nodes and data acquisition methods based on LoRa,and achieve real-time and accurate acquisition of tomato growth environment factor information in the greenhouse.(2)Software function design of intelligent control system for key habitat factors of greenhouse tomato.Investigate the actual production demand of facility greenhouses,complete the system feasibility demand analysis and overall architecture design,study and design the front and rear end,software and hardware separation data communication methods,design the access control mechanism combining RBAC model and JWT token,and design the main modules of the system and the specific functions and corresponding databases of each sub module such as equipment communication control,crop growth cycle management.Design a precise regulation model of tomato growth environment based on fuzzy control,establish a knowledge base of tomato growth cycle and fuzzy control rules,design an expert PID fuzzy controller,and design a simulation model in MATLAB environment to compare with the traditional PID fuzzy control.(3)Implementation and application of intelligent management and control system for key habitat factors of greenhouse tomato.According to the demand analysis and function design of the software system,JavaSpringBoot is taken as the basic framework of the server,and many third-party libraries and middleware such as Shiro,Netty,MyBatis Plus,Web Magic are integrated.Vue and applets are used as the main front-end framework of the PC side and the applet side for the system development and implementation of front end and back end,software and hardware separation.The system completes the data docking with the data acquisition system of key environmental factors of facility tomato,and realizes the stable real-time access and display of environmental data of 100 mu greenhouse.The expert PID fuzzy controller carries out fuzzy reasoning analysis on the real-time data of sensors,and controls the Internet of Things equipment such as water fertilizer all-in-one machine,fan and roller shutter to jointly act on the greenhouse environment,so as to realize the automatic and accurate control of the growth environment of facility greenhouse tomato.The practical application test shows that the system can stably collect environmental data,achieve intelligent and accurate control of tomato growth environment,effectively save labor production costs,and improve the production efficiency of tomato facilities.