Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/56747
Title: Artificial intelligence in sensory and consumer studies of food products
Keywords: Artificial intelligence
Machine learning
Sensory studies
Issue Date: Apr-2023
Publisher: Elsevier
Citation: NUNES, C. A. et al. Artificial intelligence in sensory and consumer studies of food products. Current Opinion in Food Science, [S.l.], v. 50, Apr. 2023.
Abstract: Artificial intelligence (AI) is a scientific field that pursues, through techniques inspired by nature, the development of intelligent systems that mimic aspects of human behavior. Advances in AI have consolidated an area of knowledge known as machine learning, which comprises techniques that allow learning from experience. Although the number of AI-themed studies is increasing, the number of publications pertaining to AI and sensory studies is low. AI is becoming vital for sensory and consumer science owing to its ability in efficiently exploring and correlating data from instrumental and human testing to produce solutions that benefit the food industry, particularly consumers. This review presents recent studies that have applied AI-based solutions in sensory and consumer studies, where their advantages and limitations are highlighted.
URI: https://www.sciencedirect.com/science/article/pii/S2214799323000164
http://repositorio.ufla.br/jspui/handle/1/56747
Appears in Collections:DCA - Artigos publicados em periódicos

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