Abstract
This article discusses the application of fuzzy logic in managing the storage processes of dairy products, highlighting its advantages over traditional PID controllers. It emphasizes the limitations of PID systems in handling variable microclimate parameters such as temperature, humidity, and CO₂ levels. By employing fuzzy logic, the article illustrates how control systems can adapt to dynamic conditions, reduce human error, and integrate expert knowledge for optimal dairy storage. The structure of a fuzzy logic control system is explained, detailing its components: fuzzification, rule-based inference, and defuzzification. Practical examples demonstrate the effectiveness of fuzzy control in maintaining product quality and stability.