The thesis presents the design and implementation of an automated greenhouse microclimate control system. The main objective of the project is to improve agricultural productivity by monitoring and maintaining optimal environmental conditions for plant growth. The work describes the selection of temperature, humidity, CO₂ concentration, and soil moisture sensors, as well as their integration with an Arduino Nano microcontroller. A control algorithm and software structure for microclimate regulation are developed. A comparative analysis of alternative technical solutions is provided. The project has practical value for implementing precision agriculture systems in small-scale farming operations.
Research advisor: Olesia Drachuk