LEADER 03265nam 2200733z- 450 001 9910566478503321 005 20231214133256.0 035 $a(CKB)5680000000037595 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81064 035 $a(EXLCZ)995680000000037595 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImplementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (114 p.) 311 $a3-0365-4080-6 311 $a3-0365-4079-2 330 $aIn 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. 606 $aResearch & information: general$2bicssc 606 $aBiology, life sciences$2bicssc 606 $aTechnology, engineering, agriculture$2bicssc 610 $asensory 610 $aphysicochemical measurements 610 $aartificial neural networks 610 $anear infra-red spectroscopy 610 $awine quality 610 $amachine learning modeling 610 $aweather 610 $aconsumer acceptance prediction 610 $adata fusion 610 $aemotion recognition 610 $afacial expression recognition 610 $agalvanic skin response 610 $amachine learning 610 $aneural networks 610 $asensory analysis 610 $aavocado 610 $acultivars 610 $apreference mapping 610 $asensory evaluation 610 $asensory descriptive analysis 610 $aconsumer science 610 $aunifloral honeys 610 $abotanical origin 610 $aphysicochemical parameters 610 $aclassification 610 $anatural language processing 610 $adeep learning 610 $asensory science 610 $aflavor lexicon 610 $along short-term memory 615 7$aResearch & information: general 615 7$aBiology, life sciences 615 7$aTechnology, engineering, agriculture 700 $aFuentes$b Sigfredo$4edt$01280644 702 $aFuentes$b Sigfredo$4oth 906 $aBOOK 912 $a9910566478503321 996 $aImplementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment$93033968 997 $aUNINA