Research On The Internet Of Things(IoT) Based Intelligent Greenhouse Monitoring System

One of the most indispensable needs of life is food and its worldwide availability endorsement has made agriculture an essential sector in recent years.As technology evolve,the need to maintain a good and suitable climate in the greenhouse became imperative to ensure that the indoor plants are more productive hence the agriculture sector was not left behind.That notwithstanding,the introduction and deployment of Internet of Things(IoT)technology in agriculture solves many problems and increases crop production.This study focuses mainly on the deployment of the IoT system in acquiring real-time data of environmental parameters in the greenhouse and finally the intelligent control based on fuzzy selftuning mechanism to regulate these environmental parameters was proposed.The main research work of this thesis is as follows:(1)Various IoT technologies that can be used in a greenhouse monitoring system were presented,and in the proposed model,we developed a method to send the air temperature and humidity data collected by the DHT11(Digital Humidity and Temperature)sensor to the cloud using an ESP8266-based Node MCU(Node MicroController Unit),first to the cloud platform Thing Speak using HTTP(Hyper-Text Transfer Protocol),and then to Adafruit.IO,using the MQTT(Message Queuing Telemetry Transport)protocol.The system has been fully im plemented in a working prototype,enabling for data acquisition and communication through the publisher/subscriber concept.At last,MQTT functionality testing was performed,with its results showing that the messages were successfully published.(2)In order to also deal with the complexity and the several nonlinear parameters of the greenhouse that have a negative impact on the system’s climate parameters,as well as major variations in one environment parameter and the plant growth process.This research suggests a dynamic model based on the first and second laws of thermodynamics that includes many different parameters that affect the changing of the greenhouse climate.This model represents the greenhouse climate system and is useful for analyzing and designing an efficient control system.MATLAB Simulink was used to validate the proposed mathematical models for both air temperature and relative humidity within the greenhouse.(3)An intelligent controller based on fuzzy logics was designed,a new fuzzy logic controller design with self-tuning features for static error reductions by adjusting the scaling factor,aiming at the problem of variable control effect when the disturbance changes too often and cause higher alterations of the error,and a mechanism based on self-tuning of fuzzy control scheme is proposed to improve the control performance of the whole system,which is used to adjust the scale factor.The STFLC(Self-Tuning Fuzzy Logic Control)is thoroughly discussed.Realtime simulation of the controller using an experimental configuration demonstrates that the architecture works very well for a dynamic non-linear system with disturbances.