Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Automated Climate Control System Greenhouses Based on Fuzzy Logic M.E. SHAMIRBEK The main parameters that have a significant impact on yield are the temperature in the greenhouse, internal humidity, illumination. The article develops the principles of constructing a greenhouse climate controller based on fuzzy logic. A fuzzy logic controller model made using MATLAB PPP based on the Mamdani algorithm is developed and considered. A greenhouse model is considered in the space of modeling a fuzzy controller and evaluating the infl uence of anode variables, such as temperature and internal humidity, on control parameters. Applications. The fuzzy logic controller has the following advantages: ease of operation, simplicity of design, easily adapts to various tasks, control speed. The considered control method makes it possible to determine the optimal location and the minimum number of humidity and air temperature sensors in the greenhouse and create a microclimate control system that provides the required control accuracy. Keywords: microclimate, Matlab, greenhouse, fuzzy logic, controller. DOI: 10.25791/pribor.9.2022.1359 Pp. 10-18.