Fuzzy Logic-based Controlled Environment for the Production of Oyster Mushroom

Mushroom is one of the most promising agricultural products adapting to the market as farmers are benefitted. Presently, the mushroom cultivation is just being executed in a conventional way. In upgrading facilities, mushroom yield can increase through an application of a microcontroller using fuzzy logic algorithm. With all this, the researcher developed a controlled environment with temperature sensor and humidity sensor utilizing Arduino-Uno Microcontroller using Fuzzy Logic algorithm and integrating sound with Wireless Sensor Network (WSN) to determine the productivity of the oyster mushroom. The experimental design and action research serve as a guide in conducting the study. The researcher used analysis of variance (ANOVA) to determine the productivity of the three treatments. Findings revealed that the desired temperature for growing oyster mushroom in a controlled environment is from 22 to 29 degrees C and humidity is 70% and above. When the automatic control system and human control was compared, the automatic control system possessed efficiency to control humidity than the latter. The project will improve the quality and productivity of the mushroom industry with fuzzy logic-based controlled environment.