Machine Learning for Quality Control in the Food Industry: A Review

The increasing complexity of modern food production demands advanced solutions for quality control (QC), safety monitoring, and process optimization. This review systemati- cally explores recent advancements in machine learning (ML) for QC across six domains: Food Quality Applications; Defect Detection and Visual Inspection Systems; Ingredient Optimization and Nutritional Assessment; Packaging—Sensors and Predictive QC; Sup- ply Chain—Traceability and Transparency and Food Industry Efficiency;...