Implementation of Digital Technologies on Beverage Fermentation
In the food and beverage industries, implementing novel methods using digital technologies such as artificial intelligence (AI), sensors, robotics, computer vision, machine learning (ML), and sensory analysis using augmented reality (AR) has become critical to maintaining and increasing the products...
Պահպանված է:
| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
| Հրապարակվել է: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20220506_9783036536552_252 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869530105682853888 |
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| collection | Directory of Open Access Books |
| description | In the food and beverage industries, implementing novel methods using digital technologies such as artificial intelligence (AI), sensors, robotics, computer vision, machine learning (ML), and sensory analysis using augmented reality (AR) has become critical to maintaining and increasing the products’ quality traits and international competitiveness, especially within the past five years. Fermented beverages have been one of the most researched industries to implement these technologies to assess product composition and improve production processes and product quality. This Special Issue (SI) is focused on the latest research on the application of digital technologies on beverage fermentation monitoring and the improvement of processing performance, product quality and sensory acceptability. |
| format | Online |
| id | doab-20.500.12854ir-81186 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-811862024-03-28T03:31:28Z Implementation of Digital Technologies on Beverage Fermentation Viejo, Claudia Gonzalez Fuentes, Sigfredo sensor networks automation beer acceptability beer fermentation RoboBEER machine learning ultrasonic measurements long short-term memory industrial digital technologies yeast morphology automated image analysis heat stress vacuoles cell size computer vision foam stability image analysis lager beer foam retention polyphenols LC-ESI-QTOF-MS/MS HPLC medicinal plants ginger lemon mint herbal tea infusion antioxidants black pepper focus group hops Kawakawa off aromas gas sensors robotic pourer aroma thresholds climate change artificial neural networks volatile phenols glycoconjugates bushfires sparkling wine fermentation biogenic amines wine quality liquid chromatography principal component analysis augmented reality non-dairy yogurt contexts consumer acceptability emotional responses Fermentation Olea europaea respiration rate storage conditions transport TeeBot high throughput liquid handling robot metabolite analysis stochastic dynamic optimisation uncertainty n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes In the food and beverage industries, implementing novel methods using digital technologies such as artificial intelligence (AI), sensors, robotics, computer vision, machine learning (ML), and sensory analysis using augmented reality (AR) has become critical to maintaining and increasing the products’ quality traits and international competitiveness, especially within the past five years. Fermented beverages have been one of the most researched industries to implement these technologies to assess product composition and improve production processes and product quality. This Special Issue (SI) is focused on the latest research on the application of digital technologies on beverage fermentation monitoring and the improvement of processing performance, product quality and sensory acceptability. 2022-05-06T11:33:55Z 2022-05-06T11:33:55Z 2022 book ONIX_20220506_9783036536552_252 9783036536552 9783036536569 https://directory.doabooks.org/handle/20.500.12854/81186 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5218 https://mdpi.com/books/pdfview/book/5218 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3656-9 10.3390/books978-3-0365-3656-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036536552 9783036536569 220 Basel open access |
| spellingShingle | sensor networks automation beer acceptability beer fermentation RoboBEER machine learning ultrasonic measurements long short-term memory industrial digital technologies yeast morphology automated image analysis heat stress vacuoles cell size computer vision foam stability image analysis lager beer foam retention polyphenols LC-ESI-QTOF-MS/MS HPLC medicinal plants ginger lemon mint herbal tea infusion antioxidants black pepper focus group hops Kawakawa off aromas gas sensors robotic pourer aroma thresholds climate change artificial neural networks volatile phenols glycoconjugates bushfires sparkling wine fermentation biogenic amines wine quality liquid chromatography principal component analysis augmented reality non-dairy yogurt contexts consumer acceptability emotional responses Fermentation Olea europaea respiration rate storage conditions transport TeeBot high throughput liquid handling robot metabolite analysis stochastic dynamic optimisation uncertainty n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes Implementation of Digital Technologies on Beverage Fermentation |
| title | Implementation of Digital Technologies on Beverage Fermentation |
| title_full | Implementation of Digital Technologies on Beverage Fermentation |
| title_fullStr | Implementation of Digital Technologies on Beverage Fermentation |
| title_full_unstemmed | Implementation of Digital Technologies on Beverage Fermentation |
| title_short | Implementation of Digital Technologies on Beverage Fermentation |
| title_sort | implementation of digital technologies on beverage fermentation |
| topic | sensor networks automation beer acceptability beer fermentation RoboBEER machine learning ultrasonic measurements long short-term memory industrial digital technologies yeast morphology automated image analysis heat stress vacuoles cell size computer vision foam stability image analysis lager beer foam retention polyphenols LC-ESI-QTOF-MS/MS HPLC medicinal plants ginger lemon mint herbal tea infusion antioxidants black pepper focus group hops Kawakawa off aromas gas sensors robotic pourer aroma thresholds climate change artificial neural networks volatile phenols glycoconjugates bushfires sparkling wine fermentation biogenic amines wine quality liquid chromatography principal component analysis augmented reality non-dairy yogurt contexts consumer acceptability emotional responses Fermentation Olea europaea respiration rate storage conditions transport TeeBot high throughput liquid handling robot metabolite analysis stochastic dynamic optimisation uncertainty n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| topic_facet | sensor networks automation beer acceptability beer fermentation RoboBEER machine learning ultrasonic measurements long short-term memory industrial digital technologies yeast morphology automated image analysis heat stress vacuoles cell size computer vision foam stability image analysis lager beer foam retention polyphenols LC-ESI-QTOF-MS/MS HPLC medicinal plants ginger lemon mint herbal tea infusion antioxidants black pepper focus group hops Kawakawa off aromas gas sensors robotic pourer aroma thresholds climate change artificial neural networks volatile phenols glycoconjugates bushfires sparkling wine fermentation biogenic amines wine quality liquid chromatography principal component analysis augmented reality non-dairy yogurt contexts consumer acceptability emotional responses Fermentation Olea europaea respiration rate storage conditions transport TeeBot high throughput liquid handling robot metabolite analysis stochastic dynamic optimisation uncertainty n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| url | ONIX_20220506_9783036536552_252 |