School of Computer and Artificial Intelligence, School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China.
Food Chem. 2025 Jan 15;463(Pt 4):141238. doi: 10.1016/j.foodchem.2024.141238. Epub 2024 Sep 23.
With global intelligence advancing and the awareness of sustainable development growing, artificial intelligence technology is increasingly being applied to the food industry. This paper, grounded in practical application cases, reviews the current research status and prospects of machine vision-based image recognition technology in food computing. It explores the general workflow of image recognition, applications based on traditional machine learning and deep learning methods. The paper covers areas including food safety detection, dietary nutrition analysis, process monitoring, and enterprise management model optimization. The aim is to provide a solid theoretical foundation and technical guidance for the integration and cross-fertilization of the food industry with artificial intelligence technology.
随着全球智能化的推进和可持续发展意识的增强，人工智能技术在食品行业的应用日益广泛。本文基于实际应用案例，综述了基于机器视觉的图像识别技术在食品计算领域的研究现状和应用前景。探讨了图像识别的一般工作流程、基于传统机器学习和深度学习方法的应用。涵盖了食品安全检测、膳食营养分析、过程监控和企业管理模式优化等领域。旨在为人工智能技术与食品工业的融合和交叉提供坚实的理论基础和技术指导。
