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Research progress on the application of artificial intelligence algorithms in food quality and safety
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Xia WANG, Bing QI, Min WANG, Si-Wen SHEN, Yi-Wen HUANG, Ben YU, Hong-Kang WANG, Xiu-Ping SHEN*
Journal of Food Safety & Quality | 2025, 16(13) : 180 - 188
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Journal of Food Safety & Quality | 2025, 16(13): 180-188
Food Analysis and Detection
Research progress on the application of artificial intelligence algorithms in food quality and safety
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Xia WANG, Bing QI, Min WANG, Si-Wen SHEN, Yi-Wen HUANG, Ben YU, Hong-Kang WANG, Xiu-Ping SHEN*
Affiliations
  • Shanghai Center of Agri-product Quality and Safety, Shanghai 201708, China
Published: 2025-07-15 doi: 10.19812/j.cnki.jfsq11-5956/ts.20250319004
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Food safety is crucial for national economic development and public health. With the development of science and technology, traditional detection methods is difficult to meet the supervision requirements of food safety in complex scenarios. In recent years, artificial intelligence (AI), with its high efficiency, high accuracy, powerful data processing capabilities, and precise identification and predictive analysis functions, has gradually been applied to research fields such as food flavor analysis, food safety risk assessment and early warning, and authenticity identification. The application of AI technology has improved the timeliness and reliability of food quality and safety testing, and has built a prevention and control system covering the entire industry for regulatory departments through intelligent decision-making assistance systems, becoming the core technical support for ensuring “safety on the tip of the tongue”. This paper mainly introduced the main algorithms of machine learning and deep learning algorithms, and reviewed the research progress of AI algorithms in food quality and safety. Additionally, it looks ahead to the existing problems and future research trends of the application of AI algorithms in food quality and safety. The aim is to offer references for further promoting the research and practice of AI technology in the field of food quality and safety, and to provide research ideas for the field of food quality and safety detection.

artificial intelligence  /  algorithms  /  machine learning  /  deep learning  /  food quality and safety
Xia WANG, Bing QI, Min WANG, Si-Wen SHEN, Yi-Wen HUANG, Ben YU, Hong-Kang WANG, Xiu-Ping SHEN. Research progress on the application of artificial intelligence algorithms in food quality and safety[J]. Journal of Food Safety & Quality, 2025 , 16 (13) : 180 -188 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20250319004
Year 2025 volume 16 Issue 13
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20250319004
  • Receive Date:2025-03-19
  • Online Date:2026-01-12
  • Published:2025-07-15
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  • Received:2025-03-19
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    Shanghai Center of Agri-product Quality and Safety, Shanghai 201708, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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