IoT-Enabled Fuzzy Logic-based Temperature and Humidity Controller with Irrigation Interval Policy in Outdoor Oyster Mushroom Growing Unit

Abstract

     Small-scale farmers and cultivators struggle to maintain optimal growth conditions and reliably produce high yields, as outdoor mushroom farming is highly sensitive to environmental fluctuations. This paper presents an Internet of Things (IoT)-enabled fuzzy logic-based temperature and humidity control system along with an irrigation interval strategy for an outdoor oyster mushroom growing unit. The proposed system employs temperature and humidity sensors for real-time environmental monitoring and a Mamdani-type Fuzzy Inference System (FIS) to dynamically manage a water pump and cooling fan. To address the excessive water consumption observed in conventional FIS-based control, an irrigation interval-based optimization technique is presented. The findings show that even in the face of changing environmental circumstances, the controller successfully keeps the temperature between 24 and 27 °C and the relative humidity over 70%. Stable performance with a low standard deviation and little tracking error from setpoints is demonstrated by statistical analysis. Additionally, while preserving the intended microclimatic conditions, the suggested strategy is affordable, scalable, and greatly increases resource efficiency by reducing water use by almost 80% as compared to the baseline FIS system.