Design and Implementation of a Fuzzy Logic-Based Automated Food Dryer

This paper presents the design and implementation of an automated food dryer controlled by fuzzy logic. The food dryer aims to improve traditional drying methods by automating the drying process and allowing specific conditions for different types of foods. Fuzzy logic is utilized to control the internal environment, enabling the dryer to respond to real-time changes in temperature and humidity. The system features a microcontroller (ESP32) that monitors sensor inputs, calculates drying progress and provides feedback through an MQTT-based interface. Experiments conducted on biltong and apple slices demonstrated consistent moisture reduction with a maximum variation of 5.23% in average drying rates. This approach offers significant improvements in drying efficiency, safety, and food quality compared to conventional methods.