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变革食品行业:人工智能的变革力量——综述

Revolutionizing the food industry: The transformative power of artificial intelligence-a review.

作者信息

Zatsu Vilhouphrenuo, Shine Angel Elizabeth, Tharakan Joel M, Peter Dayanand, Ranganathan Thottiam Vasudevan, Alotaibi Saqer S, Mugabi Robert, Muhsinah Abdullatif Bin, Waseem Muhammad, Nayik Gulzar Ahmad

机构信息

Division of Food Processing Technology, Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore 641114, Tamil Nadu, India.

Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

出版信息

Food Chem X. 2024 Oct 1;24:101867. doi: 10.1016/j.fochx.2024.101867. eCollection 2024 Dec 30.

Abstract

Artificial Intelligence (AI) is revolutionizing the food industry by optimizing processes, improving food quality and safety, and fostering innovation. This review examines AI's applications in food science, including supply chain management, production, sensory science, and personalized nutrition. It discusses techniques like knowledge-based expert systems, fuzzy logic, artificial neural networks, and machine learning, highlighting their roles in predictive maintenance, quality control, product development, and waste management. The integration of AI with sophisticated sensors enhances real-time monitoring and decision-making in food safety and packaging. However, challenges such as ethical concerns, data security, transparency, and high costs persist. AI is poised to advance sustainability by optimizing resource use, enhance food security through predictive analytics of crop yields, and drive innovation in personalized nutrition and supply chain automation, ensuring tailored products and efficient delivery. This paper underscores AI's transformative potential in the food industry while addressing the obstacles to its widespread adoption.

摘要

人工智能(AI)正在通过优化流程、提高食品质量和安全性以及促进创新来彻底改变食品行业。本综述探讨了人工智能在食品科学中的应用,包括供应链管理、生产、感官科学和个性化营养。它讨论了基于知识的专家系统、模糊逻辑、人工神经网络和机器学习等技术,强调了它们在预测性维护、质量控制、产品开发和废物管理中的作用。人工智能与先进传感器的集成增强了食品安全和包装方面的实时监测和决策。然而,伦理问题、数据安全、透明度和高成本等挑战依然存在。人工智能有望通过优化资源利用来推进可持续发展,通过对作物产量的预测分析来增强粮食安全,并推动个性化营养和供应链自动化方面的创新,确保定制产品和高效交付。本文在强调人工智能在食品行业变革潜力的同时,也探讨了其广泛应用所面临的障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae28/11488428/6051930d75d4/gr1.jpg

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