The quality and safety of food is an important aspect of human health， social stability and development. Ensuring food quality and safety is a complex and multifaceted issue that must consider all stages of food processing， from cultivation and harvesting to storage， transportation， and consumption. The application of machine learning to food processing can significantly improve the efficiency and ensure the quality and safety of food. This article systematically summarize machine learning and deep learning models， and elaborate on the application of machine learning in the field of food， such as image recognition， grading， quality inspection and food industry chain. It provides theoretical reference for the application of machine learning in food processing to expand the research ideas of food researchers.