Internet of Beer: A Review on Smart Technologies from Mash to Pint
The beer production chain includes some crucial steps regarding processing, delivery, service, and consumption that can benefit from the implementation of IoT (Internet of Things) based technologies. Large breweries implemented the use of sensors and digitization before smaller ones among which are...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
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| Series: | Foods |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-8158/9/7/950 |
| _version_ | 1827712935785398272 |
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| author | Simona Violino Simone Figorilli Corrado Costa Federico Pallottino |
| author_facet | Simona Violino Simone Figorilli Corrado Costa Federico Pallottino |
| author_sort | Simona Violino |
| collection | DOAJ |
| description | The beer production chain includes some crucial steps regarding processing, delivery, service, and consumption that can benefit from the implementation of IoT (Internet of Things) based technologies. Large breweries implemented the use of sensors and digitization before smaller ones among which are craft breweries. Internet of Beer (IoB) technologies are becoming accessible to mid and small sized brewing companies. Therefore, the objective of this work is to review mainly low-cost IoB smart technologies that can be implemented from the mash to the final product and its service, to improve the brewing production, control, delivery, and final quality increasing profitability. The reviewed applications were retrieved both from the scientific databases and from the web. The work is structured in three macro areas such as beer processing, product logistics and traceability, and service. The results show a future trend characterized by a very fast increase in the use of IoB (also open source) systems to drive efficiency, productivity, quality, and safety. This will be done by real-time monitoring and a data-driven decision support system (DSS). Crucial aspects needing further investigation are data ownership and data standardization. The access price of IoB devices and software is destined for a significant decrease while their diversification on the market will grow leading to a massive future implementation within all the production levels. |
| first_indexed | 2024-03-10T18:24:13Z |
| format | Article |
| id | doaj.art-ed6468f4df894bfb90da75782de176d3 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T18:24:13Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-ed6468f4df894bfb90da75782de176d32023-11-20T07:09:50ZengMDPI AGFoods2304-81582020-07-019795010.3390/foods9070950Internet of Beer: A Review on Smart Technologies from Mash to PintSimona Violino0Simone Figorilli1Corrado Costa2Federico Pallottino3Consiglio per la Ricerca in Agricoltura e L’analisi Dell’economia Agraria (CREA)-Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari-Via della Pascolare 16, 00015 Monterotondo (Rome), ItalyConsiglio per la Ricerca in Agricoltura e L’analisi Dell’economia Agraria (CREA)-Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari-Via della Pascolare 16, 00015 Monterotondo (Rome), ItalyConsiglio per la Ricerca in Agricoltura e L’analisi Dell’economia Agraria (CREA)-Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari-Via della Pascolare 16, 00015 Monterotondo (Rome), ItalyConsiglio per la Ricerca in Agricoltura e L’analisi Dell’economia Agraria (CREA)-Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari-Via della Pascolare 16, 00015 Monterotondo (Rome), ItalyThe beer production chain includes some crucial steps regarding processing, delivery, service, and consumption that can benefit from the implementation of IoT (Internet of Things) based technologies. Large breweries implemented the use of sensors and digitization before smaller ones among which are craft breweries. Internet of Beer (IoB) technologies are becoming accessible to mid and small sized brewing companies. Therefore, the objective of this work is to review mainly low-cost IoB smart technologies that can be implemented from the mash to the final product and its service, to improve the brewing production, control, delivery, and final quality increasing profitability. The reviewed applications were retrieved both from the scientific databases and from the web. The work is structured in three macro areas such as beer processing, product logistics and traceability, and service. The results show a future trend characterized by a very fast increase in the use of IoB (also open source) systems to drive efficiency, productivity, quality, and safety. This will be done by real-time monitoring and a data-driven decision support system (DSS). Crucial aspects needing further investigation are data ownership and data standardization. The access price of IoB devices and software is destined for a significant decrease while their diversification on the market will grow leading to a massive future implementation within all the production levels.https://www.mdpi.com/2304-8158/9/7/950IoT internet of thingsmicrocontrollersblockchaincraft beerAI artificial intelligencebig data |
| spellingShingle | Simona Violino Simone Figorilli Corrado Costa Federico Pallottino Internet of Beer: A Review on Smart Technologies from Mash to Pint Foods IoT internet of things microcontrollers blockchain craft beer AI artificial intelligence big data |
| title | Internet of Beer: A Review on Smart Technologies from Mash to Pint |
| title_full | Internet of Beer: A Review on Smart Technologies from Mash to Pint |
| title_fullStr | Internet of Beer: A Review on Smart Technologies from Mash to Pint |
| title_full_unstemmed | Internet of Beer: A Review on Smart Technologies from Mash to Pint |
| title_short | Internet of Beer: A Review on Smart Technologies from Mash to Pint |
| title_sort | internet of beer a review on smart technologies from mash to pint |
| topic | IoT internet of things microcontrollers blockchain craft beer AI artificial intelligence big data |
| url | https://www.mdpi.com/2304-8158/9/7/950 |
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