Artificial intelligence in sensory and consumer studies of food products

被引:19
|
作者
Nunes, Cleiton A. [1 ]
Ribeiro, Michele N. [1 ]
de Carvalho, Thais C. L. [2 ]
Ferreira, Danton D. [3 ]
de Oliveira, Luciana L. [3 ]
Pinheiro, Ana C. M. [1 ]
机构
[1] Fed Univ Lavras UFLA, Dept Food Sci, POB 3037, BR-37203202 Lavras, MG, Brazil
[2] Fed Univ Lavras UFLA, Dept Chem, POB 3037, BR-37203202 Lavras, MG, Brazil
[3] Fed Univ Lavras UFLA, Dept Automat, POB 3037, BR-37203202 Lavras, MG, Brazil
关键词
ARRAY;
D O I
10.1016/j.cofs.2023.101002
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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.
引用
收藏
页数:7
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