Providing microclimate conditions in greenhouse systems is very important in terms of growing desired products. In addition, remote sensing and data analysis processes need to be developed and expanded to perform fast and perfect monitoring and control in these systems. An application of remote sensing with infrared imaging in greenhouse systems has been developed. It is proposed to obtain the mean temperature inside the greenhouse via infrared images, the air relative humidity with psychrometric chart application, and the soil moisture values with the multiple regression analysis method. The control and monitoring of automatic irrigation, heating, humectation, ventilation, and lighting systems were carried out via the MATLAB–GUI interface. The desired conditions for the carnation plant were ensured in the greenhouse, and 24-h data were obtained. The digital and visual application findings showed that the designed system is more advantageous in terms of ease of use, monitoring, and simultaneous recording compared with the traditional sensor control systems.