A Simulation Based Study of A Greenhouse System with Intelligent Fuzzy Logic


Niaz Mostakim1, Shuaib Mahmud2 and *Khalid Hossain Jewel3, 1Atish Dipankar University of Science and Technology, Bangladesh, 2Jatiya Kabi Kazi Nazrul Islam University, Bangladesh and 3Islamic University, Bangladesh


Greenhouse (GHS) system is a system, that provides an efficient condition to grow plants. This research paper describes designing of a greenhouse system to control climate, soil moisture, lighting using fuzzy logic. The proposed model consists fuzzy logic to control GHS parameter such as temperature, Humidity, light, soil moisture and watering system to the plant. In this proposed system temperature controlling controller is used to take current temperature as input by using temperature sensor and its deviation from user set data. The temperature is controlled by the speed of fan. This algorithm is same for all other parameters. In this research the set value of different sensors is selected by the owner of the greenhouse according to the basis of growing plant condition. This system will enhance the capability of fuzzy logic control systems in case of process automation and potentiality.Simulation using MATLAB is used to achieve the designed goal.


Fuzzy logic, Green house, Sensor, MATLAB Simulink, Machine learning