The 1st International Electronic Conference on Processes: Processes System Innovation 2022
DOI: 10.3390/ecp2022-12623
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DigiFoodTwin: Digital Biophysical Twins Combined with Machine Learning for Optimizing Food Processing

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

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“…Furthermore, the wide range of abilities for data sharing through mobile devices such as smartphones provides a basis for complex analysis using remote computational and data resources. Some new computer-based concepts such as "digital twins" are used for the development of a conceptual framework for modeling the process of food production in order to perform a retrospective or predictive analysis of some quality indicators [35]. Krupitzer and Noack present their ideas to design an intelligent (self-aware) system to produce food with highquality thinking about a variety of physico-chemical parameters of raw materials and their influence on the quality of produced foods.…”
Section: Discussion and Future Trendsmentioning
confidence: 99%
“…Furthermore, the wide range of abilities for data sharing through mobile devices such as smartphones provides a basis for complex analysis using remote computational and data resources. Some new computer-based concepts such as "digital twins" are used for the development of a conceptual framework for modeling the process of food production in order to perform a retrospective or predictive analysis of some quality indicators [35]. Krupitzer and Noack present their ideas to design an intelligent (self-aware) system to produce food with highquality thinking about a variety of physico-chemical parameters of raw materials and their influence on the quality of produced foods.…”
Section: Discussion and Future Trendsmentioning
confidence: 99%