File:Tab1 Henrichs Sensors22 22-1.png

Table A1 Overview of the applications found in the literature and included into this work and their classification according to the discussed taxonomy. Please note: "‘X" marks true and "n.a." that the information was not available. The following abbreviations are used in the table header: Ref. = Reference; rt = real-time; stat = statistical; int = intelligent; mec = mechanistic; ima = imaginary; mon = monitoring; pred = predictive; pres = prescriptive; auto = autonomous; and rec = recollective. The superscripts used in the table are as such: ¹ https://www.cainthus.com/ accessed on 23 December 2021; ² https://www.iof2020.eu/use-case-catalogue/arable/within-field-management-zoning accessed on 23 December 2021; ³ https://www.iof2020.eu/use-case-catalogue/dairy/happy-cow accessed on 23 December 2021; ⁴ https://www.iof2020.eu/use-case-catalogue/vegetables/chain-integrated-greenhouse-production accessed on 23 December 2021; ⁵ https://www.iof2020.eu/use-casecatalogue/vegetables/added-value-weeding-data accessed on 23 December 2021; ⁶ https://www.iof2020.eu/use-case-catalogue/meat/pig-farmmanagement accessed on 23 December 2021; ⁷ https://www.connecterra.io/ accessed on 23 December 2021; ⁸ http://www.openpd.eu/ accessed on 23 December 2021; ⁹ https://www.insylo.com/ accessed on 23 December 2021; ¹⁰ https://www.beezon.gr/el/ accessed on 23 December 2021.

Henrichs, E.; Noack, T.; Piedrahita, A.M.P.; Salem, M.A.; Stolz, J.; Krupitzer, C. (2022). "Can a byte improve our bite? An analysis of digital twins in the food industry". Sensors 22 (1): 115. doi:10.3390/s22010115. 

2022

Henrichs, E.; Noack, T.; Piedrahita, A.M.P.; Salem, M.A.; Stolz, J.; Krupitzer, C.

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