机器学习在食品工业中的应用

食品的质量安全是人类健康、社会稳定与发展的一个重要方面。确保食品的质量和安全是一个复杂且涉及多方面的问题，必须考虑食品加工的所有阶段，从种植和收获到储藏、运输、消费。将机器学习应用于食品加工领域可以大幅提高工作效率，保障食品的质量与安全。本文系统总结机器学习与深度学习模型，并详细阐述机器学习在食品领域，诸如图像识别、分级、质量检测和食品产业链中的应用。为机器学习在食品加工中的应用提供理论参考，以拓展食品科研人员的研究思路。

Applications of Machine Learning in the Food Industry

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.