Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment
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 implem...
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| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (114 p.) |
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Fuentes, Sigfredo edt Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (114 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English Research & information: general bicssc Biology, life sciences bicssc Technology, engineering, agriculture bicssc 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 3-0365-4080-6 3-0365-4079-2 Fuentes, Sigfredo oth |
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English |
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eBook |
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Fuentes, Sigfredo |
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Fuentes, Sigfredo |
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| title |
Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
| title_new |
Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
| title_sort |
implementation of artificial intelligence in food science, food quality, and consumer preference assessment |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2022 |
| physical |
1 electronic resource (114 p.) |
| isbn |
3-0365-4080-6 3-0365-4079-2 |
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Not Illustrated |
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
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