Application of Artificial Intelligence in Food Industry—a Guideline

Применение искусственного интеллекта в пищевой промышленности: руководство
M.A. Hussain, H. Hashim, Nidhi Rajesh Mavani, Jarinah Mohd Ali, Suhaili Othman, Norliza Abd Rahman, Haslaniza Hashim
2021-08-09

artificial intelligencecomputer vision systemsfood classificationfood quality determinationnear infrared spectroscopy
Artificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry-related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers
1
AI applications in the food industry have expanded in response to rising food demand and population growth.
2
AI systems support food quality determination, process control, food classification, and predictive tasks.
3
Integrating AI with electronic noses, electronic tongues, computer vision, and near-infrared spectroscopy can enhance food-industry development and benefit consumers.
4
The paper provides a guideline for applying AI to future food-industry technologies and improvements.
5
The review compares the advantages, limitations, and formulations of diverse AI methods to guide appropriate method selection.

Artificial intelligence applications in the food industry

The capabilities, applications, advantages, limitations, and integration of AI systems for food quality determination, control, classification, and prediction

Publication Details
Publication Date
2021-08-09
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Authors
M.A. Hussain
H. Hashim
Nidhi Rajesh Mavani
Jarinah Mohd Ali
Suhaili Othman
Norliza Abd Rahman
Haslaniza Hashim
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