LEVERAGING IOT DATA FOR ACCURATE TEMPERATURE FORECASTING IN THE FOOD AND BEVERAGE INDUSTRY
In the food and beverage industry, maintaining optimal temperature conditions is crucial for ensuring product quality and safety. The advent of the Internet of Things (IoT) has enabled real-time temperature monitoring through sensor networks, providing a wealth of data that can be harnessed for predictive analytics. This study presents a robust method for analyzing and forecasting IoT temperature data, specifically tailored to the operational dynamics of the food and beverage sector.