Internet of Things (IoT) Usage for Automatic Monitoring and Control of Air Temperature and Humidity in a Oyster Mushroom (Pleurotus Ostreatus) House

Abstract

Temperature and air humidity are environmental factors that significantly influence the growth of oyster mushrooms (Pleurotus ostreatus) inside a mushroom house. This research aim to utilize an Internet of Things (IoT)-based monitoring and control system. This system is designed to monitor and control the temperature and humidity in the mushroom house using an SHT10 sensor, a relay to operate an exhaust fan, an Arduino to process sensor readings and control the relay, and a Wemos D1 Mini as a Wi-Fi module to connect the system to the IoT platform, namely Cayenne. The research employs an experimental method of monitoring the temperature and humidity in the mushroom house, developing an IoT-based control system program, testing the system, and collecting data. The parameters used in this study include: Air temperature and humidity and automatic air temperature and humidity control system. In this study, the set points are a temperature range of 29°C–30°C and a humidity range of 80%–90% inside the mushroom house. Based on the monitoring results, the highest temperature occurred at 12:40 PM Central Indonesia Time (WITA) with a reading of 29°C, while the lowest temperature was recorded at 4:20 AM WITA with a reading of 24.1°C. The highest humidity was observed at 8:15 AM WITA with a value of 92.5%, while the lowest humidity was recorded at 2:25 PM WITA with a value of 79.5%. According to the program settings, when the temperature is ≥30°C and humidity is ≤80%, the system successfully activated the exhaust fan and water pump at 2:25 PM WITA.