Cleiton A Nunes , Michele N Ribeiro , Thais CL de Carvalho , Danton D Ferreira , Luciana L de Oliveira , Ana CM Pinheiro
{"title":"人工智能在食品感官和消费者研究中的应用","authors":"Cleiton A Nunes , Michele N Ribeiro , Thais CL de Carvalho , Danton D Ferreira , Luciana L de Oliveira , Ana CM Pinheiro","doi":"10.1016/j.cofs.2023.101002","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":54291,"journal":{"name":"Current Opinion in Food Science","volume":null,"pages":null},"PeriodicalIF":8.9000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Artificial intelligence in sensory and consumer studies of food products\",\"authors\":\"Cleiton A Nunes , Michele N Ribeiro , Thais CL de Carvalho , Danton D Ferreira , Luciana L de Oliveira , Ana CM Pinheiro\",\"doi\":\"10.1016/j.cofs.2023.101002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":54291,\"journal\":{\"name\":\"Current Opinion in Food Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Food Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214799323000164\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Food Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214799323000164","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Artificial intelligence in sensory and consumer studies of food products
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.
期刊介绍:
Current Opinion in Food Science specifically provides expert views on current advances in food science in a clear and readable format. It also evaluates the most noteworthy papers from original publications, annotated by experts.
Key Features:
Expert Views on Current Advances: Clear and readable insights from experts in the field regarding current advances in food science.
Evaluation of Noteworthy Papers: Annotated evaluations of the most interesting papers from the extensive array of original publications.
Themed Sections: The subject of food science is divided into themed sections, each reviewed once a year.