Design and Implementation of an IoT-Based Smart Greenhouse System

Abstract

The integration of Internet of Things (IoT) technology into greenhouse systems effectively addresses prevalent challenges such as temperature and humidity imbalances, as well as insufficient lighting in greenhouse management. This system utilizes the STM32 microcontroller as its control core and incorporates various modules, including soil moisture sensors, temperature sensors, and light-sensitive sensors. The system's design comprises an environmental parameter monitoring module, an intelligent decision-making module, an execution module, a network communication module, and a human-machine interaction module. By employing intelligent algorithms, it automatically regulates irrigation, supplementary lighting, and other equipment. Consequently, this approach ensures optimal growth conditions for plants, simplifies maintenance processes, and enhances the survival rate of green plants.