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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| 245 | 1 | 0 | |a Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
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| 520 | |a 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. | ||
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| 653 | |a weather | ||
| 653 | |a consumer acceptance prediction | ||
| 653 | |a data fusion | ||
| 653 | |a emotion recognition | ||
| 653 | |a facial expression recognition | ||
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| 653 | |a machine learning | ||
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| 653 | |a sensory analysis | ||
| 653 | |a avocado | ||
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| 653 | |a preference mapping | ||
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