DEVELOPMENT OF AN IOT-BASED REMOTE MONITORING AND AUTOMATED CONTROL SYSTEM FOR GREENHOUSE CROP GROWTH

Abstract

The article explores the development of an Internet of Things (IoT)-based system for remote monitoring and automated control of greenhouse cultivation conditions. The proposed architecture integrates environmental sensors, a NodeMCU ESP8266 microcontroller, a Raspberry Pi-based server environment, wireless communication, a database, and a web interface. The system is designed to collect data on air temperature, air humidity, soil moisture, and light intensity, transmit sensor readings for remote monitoring, and facilitate the control of ventilation, irrigation, heating, and lighting according to predefined operating conditions. Particular emphasis is placed on the integration of hardware components with the software architecture, including MQTT-based data communication, sensor data storage, and visualization. The article analyses the system architecture, its design implementation, and the virtual development and testing workflow. The study does not claim experimentally verified improvements in crop yield, water consumption, or energy efficiency. Instead, it highlights the practical potential of the proposed architecture and identifies key aspects requiring further investigation through subsequent greenhouse-based experimental trials.