Neuro-fuzzy humidity control for white oyster mushroom in a closed plant production system

Abstract

Oyster mushrooms grow optimally in relative humidity of 80-90%. As a tropical country, Indonesia is very suitable for oyster mushroom cultivation, but relative humidity must be controlled. The usual effort is ineffective by spraying water to mushroom inside kumbung (mushroom cultivation building) every morning and evening. A building called a Closed Plant Production System (CPPS) equipped with a control system needs to be developed as a solution. The purpose of this study was to design and do a performance test of a neuro-fuzzy based relative humidity control system inside CPPS for white oyster mushroom (Pleurotus ostreatus) cultivation. The main components consist of Arduino Mega 2560 microcontroller, SHT11 sensor, and diaphragm pump connects with mist nozzle as an actuator. The performance test was carried out by running neuro-fuzzy based control system and giving disturbance inside CPPS room. As a result, this control system was able to reach a steady-state condition within 5 minutes. The highest relative humidity error was 0.73%, and the lowest error was 0.09% - the recovery rate of relative humidity inside CPPS when disturbed was 2.25% per minute.