食品工业中的大数据分析：最新文献综述。

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

NPJ Science of Food Pub Date : 2025-03-21 DOI:10.1038/s41538-025-00394-y

Aftab Siddique, Ashish Gupta, Jason T Sawyer, Tung-Shi Huang, Amit Morey

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引用次数: 0

摘要

在技术进步的推动下，食品工业在过去二十年中经历了快速增长，技术进步产生了大量复杂的数据。然而，由于缺乏对各种变量的控制，该行业有效分析和利用这些数据的能力仍然有限。本综述通过探索如何应用基于ai - ml的方法来解决粮食部门的关键挑战，解决了一个关键差距。

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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Big data analytics in food industry: a state-of-the-art literature review.

The food industry has experienced rapid growth over the past two decades, driven by technological advancements that have generated vast quantities of complex data. However, the industry's ability to effectively analyze and leverage this data remains limited due to the lack of control over diverse variables. This review addresses a critical gap by exploring how AI-ML-based approaches can be applied to solve key challenges in the food sector.

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来源期刊

NPJ Science of Food FOOD SCIENCE & TECHNOLOGY-

CiteScore

7.50

自引率

1.60%

发文量

期刊介绍： npj Science of Food is an online-only and open access journal publishes high-quality, high-impact papers related to food safety, security, integrated production, processing and packaging, the changes and interactions of food components, and the influence on health and wellness properties of food. The journal will support fundamental studies that advance the science of food beyond the classic focus on processing, thereby addressing basic inquiries around food from the public and industry. It will also support research that might result in innovation of technologies and products that are public-friendly while promoting the United Nations sustainable development goals.