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

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 p...

Full description

Bibliographic Details
Main Authors: Milan Markovic, Naomi Jacobs, Konrad Dryja, Peter Edwards, Norval J. C. Strachan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Sustainable Food Systems
Subjects:
IoT
Online Access:https://www.frontiersin.org/articles/10.3389/fsufs.2020.563424/full
id doaj-09a1c3b115664ee3b0ddcb5499956221
record_format Article
spelling doaj-09a1c3b115664ee3b0ddcb54999562212020-11-25T04:08:23ZengFrontiers Media S.A.Frontiers in Sustainable Food Systems2571-581X2020-11-01410.3389/fsufs.2020.563424563424Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food DeliveriesMilan Markovic0Naomi Jacobs1Konrad Dryja2Peter Edwards3Norval J. C. Strachan4Department of Computing Science, University of Aberdeen, Aberdeen, United KingdomImagination Lancaster, Lancaster University, Lancaster, United KingdomDepartment of Computing Science, University of Aberdeen, Aberdeen, United KingdomDepartment of Computing Science, University of Aberdeen, Aberdeen, United KingdomDepartment of Physics, University of Aberdeen, Aberdeen, United KingdomIn 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.https://www.frontiersin.org/articles/10.3389/fsufs.2020.563424/fullprovenanceIoTfood safetyHACCPblockchainontology
collection DOAJ
language English
format Article
sources DOAJ
author Milan Markovic
Naomi Jacobs
Konrad Dryja
Peter Edwards
Norval J. C. Strachan
spellingShingle Milan Markovic
Naomi Jacobs
Konrad Dryja
Peter Edwards
Norval J. C. Strachan
Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
Frontiers in Sustainable Food Systems
provenance
IoT
food safety
HACCP
blockchain
ontology
author_facet Milan Markovic
Naomi Jacobs
Konrad Dryja
Peter Edwards
Norval J. C. Strachan
author_sort Milan Markovic
title Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
title_short Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
title_full Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
title_fullStr Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
title_full_unstemmed Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
title_sort integrating internet of things, provenance, and blockchain to enhance trust in last mile food deliveries
publisher Frontiers Media S.A.
series Frontiers in Sustainable Food Systems
issn 2571-581X
publishDate 2020-11-01
description 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.
topic provenance
IoT
food safety
HACCP
blockchain
ontology
url https://www.frontiersin.org/articles/10.3389/fsufs.2020.563424/full
work_keys_str_mv AT milanmarkovic integratinginternetofthingsprovenanceandblockchaintoenhancetrustinlastmilefooddeliveries
AT naomijacobs integratinginternetofthingsprovenanceandblockchaintoenhancetrustinlastmilefooddeliveries
AT konraddryja integratinginternetofthingsprovenanceandblockchaintoenhancetrustinlastmilefooddeliveries
AT peteredwards integratinginternetofthingsprovenanceandblockchaintoenhancetrustinlastmilefooddeliveries
AT norvaljcstrachan integratinginternetofthingsprovenanceandblockchaintoenhancetrustinlastmilefooddeliveries
_version_ 1724426105464553472