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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 online resource (114 p.)
Soggetto topico: Biology, life sciences
Research & information: general
Technology, engineering, agriculture
Soggetto non controllato: artificial neural networks
avocado
botanical origin
classification
consumer acceptance prediction
consumer science
cultivars
data fusion
deep learning
emotion recognition
facial expression recognition
flavor lexicon
galvanic skin response
long short-term memory
machine learning
machine learning modeling
n/a
natural language processing
near infra-red spectroscopy
neural networks
physicochemical measurements
physicochemical parameters
preference mapping
sensory
sensory analysis
sensory descriptive analysis
sensory evaluation
sensory science
unifloral honeys
weather
wine quality
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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