Smart Indoor Cultivation with AIThaiGen IoT Platform for Microgreen Growth

Abstract

This paper presents the development of a smart indoor cultivation system powered by the AIThaiGen platform and its testing through the cultivation of sunflower microgreens. The system comprises grow lights, an air pump, water pumps, a water level sensor, a temperature/humidity sensor, and a microcontroller (NodeMCU ESP32). Two trays, each containing 500 sunflower seeds, were prepared for a comparative growth study. The first tray had a water level monitoring and control system, while the water level in second tray was uncontrolled. Throughout the growth period, environmental data such as temperature and humidity were collected, and real-time monitoring and control were performed remotely via the AIThaiGen platform. After nine days, the microgreens harvested from the two trays were compared. The yield from the tray with the controlled water level was lower. This suggests that further optimization of oxygenation and water management features is necessary to improve growth efficiency.