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Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries

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Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries. / Markovic, Milan; Jacobs, Naomi; Dryja, Konrad et al.
In: Frontiers in Sustainable Food Systems, Vol. 4, 563424, 17.11.2020.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Markovic, M, Jacobs, N, Dryja, K, Edwards, P & Strachan, N 2020, 'Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries', Frontiers in Sustainable Food Systems, vol. 4, 563424. https://doi.org/10.3389/fsufs.2020.563424

APA

Markovic, M., Jacobs, N., Dryja, K., Edwards, P., & Strachan, N. (2020). Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries. Frontiers in Sustainable Food Systems, 4, Article 563424. https://doi.org/10.3389/fsufs.2020.563424

Vancouver

Markovic M, Jacobs N, Dryja K, Edwards P, Strachan N. Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries. Frontiers in Sustainable Food Systems. 2020 Nov 17;4:563424. doi: 10.3389/fsufs.2020.563424

Author

Markovic, Milan ; Jacobs, Naomi ; Dryja, Konrad et al. / Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries. In: Frontiers in Sustainable Food Systems. 2020 ; Vol. 4.

Bibtex

@article{c994816bd0f341148888b4b822121c9b,
title = "Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries",
abstract = "In this article, we discuss our experience of realizing a prototype IoT-based food safety monitoring solution which integrates inexpensive off-the-shelf open source IoT technology for monitoring food deliveries, semantic services for managing and reasoning about food safety provenance records, and private blockchain networks for persistent and secure storage of semantic provenance graphs. We describe how observation of real-world contexts was used to develop a prototype device, and the results of field trials deploying these prototypes as part of the food delivery process. Results indicate that continuous, context sensitive, trustworthy temperature measurement could provide benefits to multiple stakeholders across the delivery pathway. However, close attention has to be paid to the technology used—as cheap multi-functional IoT devices may produce low quality sensor observations which adversely affect the utility of the overall solution. Our experience also suggests that future food safety management systems may need to include machine-processable guidelines to support analysis of raw sensor data for food safety compliance.",
keywords = "provenance, IoT, food safety, HACCP, blockchain, ontology",
author = "Milan Markovic and Naomi Jacobs and Konrad Dryja and Peter Edwards and Norval Strachan",
year = "2020",
month = nov,
day = "17",
doi = "10.3389/fsufs.2020.563424",
language = "English",
volume = "4",
journal = "Frontiers in Sustainable Food Systems",
issn = "2571-581X",
publisher = "Frontiers Media S.A.",

}

RIS

TY - JOUR

T1 - Integrating Internet of Things, Provenance and Blockchain to Enhance Trust in Last Mile Food Deliveries

AU - Markovic, Milan

AU - Jacobs, Naomi

AU - Dryja, Konrad

AU - Edwards, Peter

AU - Strachan, Norval

PY - 2020/11/17

Y1 - 2020/11/17

N2 - In this article, we discuss our experience of realizing a prototype IoT-based food safety monitoring solution which integrates inexpensive off-the-shelf open source IoT technology for monitoring food deliveries, semantic services for managing and reasoning about food safety provenance records, and private blockchain networks for persistent and secure storage of semantic provenance graphs. We describe how observation of real-world contexts was used to develop a prototype device, and the results of field trials deploying these prototypes as part of the food delivery process. Results indicate that continuous, context sensitive, trustworthy temperature measurement could provide benefits to multiple stakeholders across the delivery pathway. However, close attention has to be paid to the technology used—as cheap multi-functional IoT devices may produce low quality sensor observations which adversely affect the utility of the overall solution. Our experience also suggests that future food safety management systems may need to include machine-processable guidelines to support analysis of raw sensor data for food safety compliance.

AB - In this article, we discuss our experience of realizing a prototype IoT-based food safety monitoring solution which integrates inexpensive off-the-shelf open source IoT technology for monitoring food deliveries, semantic services for managing and reasoning about food safety provenance records, and private blockchain networks for persistent and secure storage of semantic provenance graphs. We describe how observation of real-world contexts was used to develop a prototype device, and the results of field trials deploying these prototypes as part of the food delivery process. Results indicate that continuous, context sensitive, trustworthy temperature measurement could provide benefits to multiple stakeholders across the delivery pathway. However, close attention has to be paid to the technology used—as cheap multi-functional IoT devices may produce low quality sensor observations which adversely affect the utility of the overall solution. Our experience also suggests that future food safety management systems may need to include machine-processable guidelines to support analysis of raw sensor data for food safety compliance.

KW - provenance

KW - IoT

KW - food safety

KW - HACCP

KW - blockchain

KW - ontology

U2 - 10.3389/fsufs.2020.563424

DO - 10.3389/fsufs.2020.563424

M3 - Journal article

VL - 4

JO - Frontiers in Sustainable Food Systems

JF - Frontiers in Sustainable Food Systems

SN - 2571-581X

M1 - 563424

ER -