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Impact and prospect of the fourth industrial revolution in food safety: Mini-review

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Abstract

The fourth industrial revolution represented by big data and artificial intelligence (AI), already had a significant impact on the food industry. In this review, the impacts and prospects of the 4th industrial revolution in food safety were discussed. First, the general process and characteristics of AI application from data collection to visualization are covered. Additionally, various data collection and analysis methods are discussed, with emphasis on the collection of high variety, volume, and velocity data and visualization. Available literature presents examples of machine learning applications in food samples that are mostly associated with the classification of agricultural food items through convolutional neural networks. Based on these examples, the prospects of the 4th industrial revolution in food safety are categorized as follows: prediction of food safety risk, detection of foodborne pathogens, and food safety management. This mini-review will help understand the relationship between the 4th industrial revolution and food safety.

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Authors and Affiliations

  1. Department of Food Engineering, Dankook University, 31116, Cheonan, Republic of Korea

    Sang-Soon Kim

  2. Department of Plant and Food Sciences, Sangmyung University, 31066, Cheonan, Republic of Korea

    Sangoh Kim

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  1. Sang-Soon Kim
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Kim, SS., Kim, S. Impact and prospect of the fourth industrial revolution in food safety: Mini-review. Food Sci Biotechnol 31, 399–406 (2022). https://doi.org/10.1007/s10068-022-01047-6

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