BEDDING TEMPERATURE, pH, AND HUMIDITY CONTROL SYSTEM USING IoT

Abstract

This research aims to develop an IoT-based system for earthworm farming in cement ponds at the Learning Center for Earthworm Cultivation, Ban Pak Khlong School, Kho Rum Subdistrict, Phichai District, Uttaradit Province. The system focuses on automating the management of feeding and moisture control for African Night Crawler earthworms. The design integrates water and feeding management controlled via a mobile application, with microcontrollers as the central unit. Sensors are employed to monitor soil pH, soil moisture, and relative air humidity, while sprinklers and drip irrigation systems are activated accordingly through IoT control. Experimental trials were conducted ten times to compare sensor measurements with standard instruments. The average soil pH measured by the IoT system was 6.8, compared to the standard value of 6.9, with a difference of 0.1. Soil moisture averaged 77.77% from sensors, compared to 78.88% from standard instruments, differing by 1.11 Relative air temperature averaged 23.57 °C from sensors, compared to 23.9 °C from standard instruments, differing by 0.33 °C. The results demonstrate that the IoT-based system can effectively and accurately control environmental conditions for earthworm farming, with minimal deviation from standard measurements. This confirms the feasibility of applying IoT technology to improve efficiency, reduce labor, and provide a model for smart agriculture and sustainable organic waste management in educational contexts.