MICROBIAL RISK ASSESSMENT IN STORED AGRICULTURAL PRODUCTS: ENSURING FOOD SAFETY THROUGH PREDICTIVE MODELING

Microbial contamination in stored agricultural products poses serious threats to food safety and public health. This study aims to assess microbial risks during storage using predictive modeling tools that simulate microbial growth under varying environmental conditions. The research outlines common pathogens, critical control points in storage systems, and evaluates existing mitigation strategies. The findings highlight the importance of integrated microbial monitoring systems and suggest tailored interventions to reduce contamination and ensure food safety.