Developing an IoT System for Studying the Optimal Conditions for the Growth of Ear Mushrooms

Abstract

The objective of this research is to study the optimal environment for the growth of ear mushrooms and to design and develop ear mushrooms cultivation control system in a greenhouse using the Internet of Things ( IoT) . In developing the system, data collection and parameter studies for ear mushroom cultivation in the greenhouse were conducted through the enhancement of sensor operations. This included temperature and humidity sensors, light intensity sensors, and water flow sensors, integrated with an ESP8266 microcontroller board via WiFi. Sensor data was sent to a MySQL database created on a Raspberry Pi computer, and the data was analyzed and compared to improve the automatic humidity control system in the greenhouse for ear mushroom cultivation. The researcher also studied the ear mushroom cultivation behaviors of farmers by measuring temperature, humidity, and water flow with installed sensors. It was found that temperature and humidity fluctuated inconsistently, with temperatures ranging from 29 to 38 degrees Celsius and humidity ranging from 50 to 85%. Farmers typically watered the mushrooms an average of three times a day. Consequently, the researcher installed an automatic humidity control system in the greenhouse for ear mushroom cultivation and found that the temperature ranged from 31 to 32 degrees Celsius, and humidity ranged from 70 to 85%, maintaining consistency. The automatic watering system averaged 5 to 6 times a day. This study showed that farmer watering behaviors with the use of the automatic humidity control system in the greenhouse for ear mushroom cultivation showed that the system could assist in mimicking the farmers' work patterns without affecting the yield