Application of machine vision in food computing: A review

IF 5.4 2区医学 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Biomaterials Science & Engineering Pub Date : 2024-09-23 DOI:10.1016/j.foodchem.2024.141238

Zhiyao Zhao, Rong Wang, Minghao Liu, Lin Bai, Ying Sun

引用次数: 0

Abstract

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.

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机器视觉在食品计算中的应用：综述。

随着全球智能化的发展和可持续发展意识的增强，人工智能技术正越来越多地应用于食品行业。本文以实际应用案例为基础，回顾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前景。它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。论文涉及的领域包括食品安全检测、膳食营养分析、过程监控和企业管理模型优化。旨在为食品工业与人工智能技术的融合与交叉发展提供坚实的理论基础和技术指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Biomaterials Science & Engineering Materials Science-Biomaterials

CiteScore

10.30

自引率

3.40%

发文量

413

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