Advancements in Food Technology Using Artificial Intelligence- Deep Learning
Viola A. Nwachukwu Nicholas-Okpara
Nutritional and Toxicology Division, Food Technology Department, Federal Institute of Industrial Research, Oshodi, Food Technology Department, Nigeria.
Adaeze Joy Ubaka *
Food Science and Technology Department, Federal University of Technology Owerri, Imo State Nigeria.
Maryam Olanshile Adegboyega
Nutritional and Toxicology Division, Food Technology Department, Federal Institute of Industrial Research, Oshodi, Food Technology Department, Nigeria and Animal and Environmental Biology Department, University of Benin, Edo State, Nigeria.
Ifesinachi Anastacia Utazi
Food Science and Technology Department, Abia State University, Abia State, Nigeria.
C. E. Chibudike
Planning, Technology Transfer and Information Management, Federal Institute of IndustrialResearch (FIIRO), Lagos, Nigeria.
H. O. Chibudike
Department of Chemical Fibre Environmental Technology, Federal Institute of IndustrialResearch Oshodi, Nigeria.
*Author to whom correspondence should be addressed.
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.
Keywords: Food industry, artificial intelligence, emerging technologies, food processing, machine learning, deep learning