Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/56747
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dc.creatorNunes, Cleiton A.-
dc.creatorRibeiro, Michele N.-
dc.creatorCarvalho, Thais C. L. de-
dc.creatorFerreira, Danton D.-
dc.creatorOliveira, Luciana L. de-
dc.creatorPinheiro, Ana C. M.-
dc.date.accessioned2023-05-05T13:03:43Z-
dc.date.available2023-05-05T13:03:43Z-
dc.date.issued2023-04-
dc.identifier.citationNUNES, 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.pt_BR
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2214799323000164pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/56747-
dc.description.abstractArtificial 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.pt_BR
dc.languageen_USpt_BR
dc.publisherElsevierpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceCurrent Opinion in Food Sciencept_BR
dc.subjectArtificial intelligencept_BR
dc.subjectMachine learningpt_BR
dc.subjectSensory studiespt_BR
dc.titleArtificial intelligence in sensory and consumer studies of food productspt_BR
dc.typeArtigopt_BR
Appears in Collections:DCA - Artigos publicados em periódicos

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