The storage and maturation of cheeses require meticulously controlled environmental conditions to ensure final product quality, yet many facilities still rely on manual supervision, which is prone to error and inefficiency. This paper proposes an innovative, automated system based on the Internet of Things (IoT) and Artificial Intelligence (AI) to monitor and regulate critical parameters in a cheese dairy. The implemented prototype utilizes a network of sensors - including a DHT11 for temperature and humidity, a passive infrared (PIR) sensor for security motion detection, and an ultrasonic sensor for automated access controlling connected to a NodeMCU ESP8266 microcontroller. This system automatically activates actuators, such as a ventilation system and a sliding door, when sensor readings exceed predefined thresholds. All data is transmitted in real-time via a secure HTTPS connection to a cloud database on Oracle APEX, where it is visualized on an interactive dashboard for remote monitoring. Furthermore, the integration of Google's Gemini AI model provides a chatbot interface, allowing users to query specific information related to cheese ripening processes directly within the dashboard. The results demonstrate that this solution not only maintains ideal ripening conditions with greater consistency than manual methods but also significantly reduces the need for human intervention, thereby optimizing operational efficiency, minimizing waste, and enhancing product quality. The project underscores the transformative potential of IoT and AI in advancing intelligent storage solutions for the food industry.
