This paper, therefore, proposes an IoT-enabled food heat-drying system that can resolve the inefficiencies of traditional drying and solar drying methods, characterized by low efficiency, variable product qualities, and high labor costs. In this regard, the proposed system is integrating an ESP32 microcontroller with various sensors, such as rain, temperature, humidity, and light sensors for real-time continuous monitoring of the surrounding environment and adjustment of drying parameters in real time. A control algorithm, developed and evaluated using the Wokwi Simulator, automates roof movement and thermal regulation, thereby maintaining suitable drying conditions with minimal human involvement. Simulation results demonstrate improve in drying efficiency, product uniformity, safety in operation and energy consumption. Thanks to its modularity and low cost, the system could potentially be deployed in a simple scaled and customized for numerous types of agricultural and industrial drying operations. In summary, we have presented an efficient and a practical process for the mass upgradation of vintage drying techniques, and provides a potential starting point for further research into smart process control and precision farming.