AutoDry : Automation in Food Drying

Abstract — Traditional food dehydration methods are often inefficient, labor-intensive, and inconsistent in preserving food quality. This research introduces AutoDry, a smart food drying system that utilizes artificial intelligence and Internet of Things (IoT) to automate food dehydration processes. The system detects food type using a camera, automatically sets the drying parameters, and allows remote monitoring via a mobile application. Developed using Raspberry Pi, temperature sensors, and Java-based software, AutoDry aims to reduce energy consumption, labor requirements, and post-harvest food wastage. The system is scalable for both domestic and industrial use, empowering small-scale farmers to preserve and sell surplus produce efficiently. Experimental results indicate improved drying precision and usability, making AutoDry a sustainable and market-ready solution. Keywords — Food Dehydration, IoT, Artificial Intelligence, Raspberry Pi, Automation, Smart Agriculture