Nicholas-Okpara, Viola A. Nwachukwu and Ubaka, Adaeze Joy and Adegboyega, Maryam Olanshile and Utazi, Ifesinachi Anastacia and Chibudike, C. E. and Chibudike, H. O. (2021) Advancements in Food Technology Using Artificial Intelligence- Deep Learning. Current Journal of Applied Science and Technology, 40 (18). pp. 1-9. ISSN 2457-1024
3570-Article Text-6608-1-10-20220914.pdf - Published Version
Download (412kB)
Abstract
The food industry has continued to evolve in terms of technologies employed in food processing. These advancements are because of increasing demand of food. Many industries are beginning to explore new technologies to enhance maximum efficiency and productivity across the food value chain. Artificial Intelligence (AI) is one of the emerging technologies that have found great relevance in the food sector. AI is simply the creation of smart machines capable of exhibiting human intelligence. This technology uses algorithms like machine learning and deep learning to mimic human behavior. AI has continued to find relevance in food processing and has proven to be an added advantage to the industry. In this article, we considered the relevance of AI to the food industry, its various applications in food processing, benefits, and setbacks to its adoption in the food industry.
Item Type: | Article |
---|---|
Subjects: | Oalibrary Press > Multidisciplinary |
Depositing User: | Managing Editor |
Date Deposited: | 14 Apr 2023 05:09 |
Last Modified: | 18 Jun 2024 06:45 |
URI: | http://asian.go4publish.com/id/eprint/1517 |