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Application of Artificial Intelligence in Food Industry: A Review
Review Article | Published: 16 May 2025
Agricultural Science and Food Processing Volume 2, Issue 2, 2025: 68-88
Volume 2, Issue 2, Agricultural Science and Food Processing
Volume 2, Issue 2, 2025
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Agricultural Science and Food Processing, Volume 2, Issue 2, 2025: 68-88

Open Access | Review Article | 16 May 2025
Application of Artificial Intelligence in Food Industry: A Review
by
Yiyi Wang Yiyi Wang 1 *
1 College of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 102488, China
* Corresponding Author: Yiyi Wang, [email protected]
DOI: 10.62762/ASFP.2025.552607
ARK: ark:/57805/asfp.2025.552607
Received: 27 January 2025, Accepted: 18 March 2025, Published: 16 May 2025  
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Abstract
As people’s living standards continue to rise, the food processing industry is facing many challenges such as improving production efficiency, ensuring food safety, and reducing processing costs. The emergence of artificial intelligence (AI) technology has brought new opportunities for this industry. This paper describes AI applications in food processing, especially focuses on machine learning (ML) and deep learning (DL) techniques. These techniques are used for grading and sorting of raw materials, production optimization during food processing, quality inspection, and food safety assurance. For example, ML algorithms can be combined with non-destructive testing techniques. This allows for the effective identification of adulterated meats. The implementation of AI not only improves production efficiency but also enhances food safety and quality control through real-time monitoring and rapid, non-destructive detection methods. Future developments in AI technologies are expected to further promote the sustainable development of the food processing industry by improving data quality, developing more interpretable models, and reducing costs.
Graphical Abstract
Application of Artificial Intelligence in Food Industry: A Review
Keywords
artificial intelligence
machine learning
deep learning
food processing
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
The author declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
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Cite This Article
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Wang, Y. (2025). Application of Artificial Intelligence in Food Industry: A Review. Agricultural Science and Food Processing, 2(2), 68–88. https://doi.org/10.62762/ASFP.2025.552607
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TY  - JOUR
AU  - Wang, Yiyi
PY  - 2025
DA  - 2025/05/16
TI  - Application of Artificial Intelligence in Food Industry: A Review
JO  - Agricultural Science and Food Processing
T2  - Agricultural Science and Food Processing
JF  - Agricultural Science and Food Processing
VL  - 2
IS  - 2
SP  - 68
EP  - 88
DO  - 10.62762/ASFP.2025.552607
UR  - https://www.icck.org/article/abs/ASFP.2025.552607
KW  - artificial intelligence
KW  - machine learning
KW  - deep learning
KW  - food processing
AB  - As people’s living standards continue to rise, the food processing industry is facing many challenges such as improving production efficiency, ensuring food safety, and reducing processing costs. The emergence of artificial intelligence (AI) technology has brought new opportunities for this industry. This paper describes AI applications in food processing, especially focuses on machine learning (ML) and deep learning (DL) techniques. These techniques are used for grading and sorting of raw materials, production optimization during food processing, quality inspection, and food safety assurance. For example, ML algorithms can be combined with non-destructive testing techniques. This allows for the effective identification of adulterated meats. The implementation of AI not only improves production efficiency but also enhances food safety and quality control through real-time monitoring and rapid, non-destructive detection methods. Future developments in AI technologies are expected to further promote the sustainable development of the food processing industry by improving data quality, developing more interpretable models, and reducing costs.
SN  - 3066-1579
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -
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@article{Wang2025Applicatio,
  author = {Yiyi Wang},
  title = {Application of Artificial Intelligence in Food Industry: A Review},
  journal = {Agricultural Science and Food Processing},
  year = {2025},
  volume = {2},
  number = {2},
  pages = {68-88},
  doi = {10.62762/ASFP.2025.552607},
  url = {https://www.icck.org/article/abs/ASFP.2025.552607},
  abstract = {As people’s living standards continue to rise, the food processing industry is facing many challenges such as improving production efficiency, ensuring food safety, and reducing processing costs. The emergence of artificial intelligence (AI) technology has brought new opportunities for this industry. This paper describes AI applications in food processing, especially focuses on machine learning (ML) and deep learning (DL) techniques. These techniques are used for grading and sorting of raw materials, production optimization during food processing, quality inspection, and food safety assurance. For example, ML algorithms can be combined with non-destructive testing techniques. This allows for the effective identification of adulterated meats. The implementation of AI not only improves production efficiency but also enhances food safety and quality control through real-time monitoring and rapid, non-destructive detection methods. Future developments in AI technologies are expected to further promote the sustainable development of the food processing industry by improving data quality, developing more interpretable models, and reducing costs.},
  keywords = {artificial intelligence, machine learning, deep learning, food processing},
  issn = {3066-1579},
  publisher = {Institute of Central Computation and Knowledge}
}
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Agricultural Science and Food Processing

Agricultural Science and Food Processing

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