Automatic monitoring system for Oyster mushroom towards smart farming implementation

Abstract

The temperature and humidity conditions strongly influence the growth of oyster mushrooms in the mushroom location. The ideal temperature for the growth phase of oyster mushrooms ranges from 16 to 30°C with an air humidity of 75-95%. If the temperature and humidity in the mushroom location do not match the ideal value, the growth of the mushrooms will be disrupted, or it will even die. The manual method of watering to control the temperature and humidity of the mushroom location requires more effort and time. During the summer, farmers have difficulty controlling the temperature and humidity of the mushroom location, resulting in lower yields than in the rainy season. In this study, an automatic system based on IoT was designed to assist farmers in monitoring and controlling the temperature and humidity of the mushroom location. This system consists of a DHT22 sensor, an ESP32 microcontroller, and a water pump. The result of this study is that sensor reading data has been successfully sent from the microcontroller to the Blynk application so that farmers can monitor the temperature and humidity conditions of the oyster mushroom location remotely using a smartphone. The microcontroller can also activate the water pump automatically if the temperature and humidity in the mushroom location do not match the desired value. The yield after using the tools made is more than before.