Show simple item record

dc.contributor.editorFuentes, Sigfredo
dc.date.accessioned2022-05-06T11:25:32Z
dc.date.available2022-05-06T11:25:32Z
dc.date.issued2022
dc.identifierONIX_20220506_9783036540801_130
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/81064
dc.description.abstractIn 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciencesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processesen_US
dc.subject.othersensory
dc.subject.otherphysicochemical measurements
dc.subject.otherartificial neural networks
dc.subject.othernear infra-red spectroscopy
dc.subject.otherwine quality
dc.subject.othermachine learning modeling
dc.subject.otherweather
dc.subject.otherconsumer acceptance prediction
dc.subject.otherdata fusion
dc.subject.otheremotion recognition
dc.subject.otherfacial expression recognition
dc.subject.othergalvanic skin response
dc.subject.othermachine learning
dc.subject.otherneural networks
dc.subject.othersensory analysis
dc.subject.otheravocado
dc.subject.othercultivars
dc.subject.otherpreference mapping
dc.subject.othersensory evaluation
dc.subject.othersensory descriptive analysis
dc.subject.otherconsumer science
dc.subject.otherunifloral honeys
dc.subject.otherbotanical origin
dc.subject.otherphysicochemical parameters
dc.subject.otherclassification
dc.subject.othernatural language processing
dc.subject.otherdeep learning
dc.subject.othersensory science
dc.subject.otherflavor lexicon
dc.subject.otherlong short-term memory
dc.subject.othern/a
dc.titleImplementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-4079-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036540801
oapen.relation.isbn9783036540795
oapen.pages114
oapen.place.publicationBasel


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/