4.5 Article

Application of Artificial Intelligence in Food Industry-a Guideline

Journal

FOOD ENGINEERING REVIEWS
Volume 14, Issue 1, Pages 134-175

Publisher

SPRINGER
DOI: 10.1007/s12393-021-09290-z

Keywords

AI in food industry; Review; NIR; Food sensors; Model development guidelines

Funding

  1. Universiti Kebangsaan Malaysia [GUP-2019-012]

Ask authors/readers for more resources

Artificial intelligence has become the latest technology in the food industry due to the increasing food demands worldwide. Its capabilities in tasks such as food quality determination and prediction have driven up demand in the industry. Integration with other devices like electronic nose and NIR will benefit industry players and consumers.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available