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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment



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Autore: Fuentes Sigfredo Visualizza persona
Titolo: Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 electronic resource (114 p.)
Soggetto topico: Research & information: general
Biology, life sciences
Technology, engineering, agriculture
Soggetto non controllato: sensory
physicochemical measurements
artificial neural networks
near infra-red spectroscopy
wine quality
machine learning modeling
weather
consumer acceptance prediction
data fusion
emotion recognition
facial expression recognition
galvanic skin response
machine learning
neural networks
sensory analysis
avocado
cultivars
preference mapping
sensory evaluation
sensory descriptive analysis
consumer science
unifloral honeys
botanical origin
physicochemical parameters
classification
natural language processing
deep learning
sensory science
flavor lexicon
long short-term memory
Persona (resp. second.): FuentesSigfredo
Sommario/riassunto: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
Titolo autorizzato: Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910566478503321
Lo trovi qui: Univ. Federico II
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