Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
Open accessAbstract
The recent, exponential rise in adoption of the most disparate Internet of Things (IoT) devices and technologies has reached also Agriculture and Food (Agri-Food) supply chains, drumming up substantial research and innovation interest towards developing reliable, auditable and transparent traceability systems. Current IoT-based traceability and provenance systems for Agri-Food supply chains are built on top of centralized infrastructures and this leaves room for unsolved issues and major concerns, including data integrity, tampering and single points of failure. Blockchains, the distributed ledger technology underpinning cryptocurrencies such as Bitcoin, represent a new and innovative technological approach to realizing decentralized trustless systems. Indeed, the inherent properties of this digital technology provide fault-tolerance, immutability, transparency and full traceability of the stored transaction records, as well as coherent digital representations of physical assets and autonomous transaction executions. This paper presents AgriBlockIoT, a fully decentralized, blockchain-based traceability solution for Agri-Food supply chain management, able to seamless integrate IoT devices producing and consuming digital data along the chain. To effectively assess AgriBlockIoT, first, we defined a classical use-case within the given vertical domain, namely from-farm-to-fork. Then, we developed and deployed such use-case, achieving traceability using two different blockchain implementations, namely Ethereum and Hyperledger Sawtooth. Finally, we evaluated and compared the performance of both the deployments, in terms of latency, CPU, and network usage, also highlighting their main pros and cons.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Four out of 10 articles in the first cluster are strongly focused on using blockchain for product traceability in food chains.
“some of the articles of the first cluster (i.e., four out of 10) are strongly focused on the use of blockchain technology, with the aim of ensuring product traceability in food chains [45,75,77,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [82]
Papers [78,82] propose real implementations based on existing blockchains: Ethereum [78] and Ethereum and Hyperledger [82].
“Papers [78,82] also propose real implementations, but based on existing blockchains: Ethereum [78] and Ethereum and Hyperledger [82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [82]
Only three documents in macro-clusters C1 and C2 present a real implementation based on real blockchains.
“Some of them propose new platforms just at a concept level [45,51,52,75,77,83,84,88,89,91], some of them present proofs of their concepts [76,79,81], and only three of them present a real implementation based on real blockchains: [78,80,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [82]
AgriBlockIoT can ensure IoT devices integration.
“It can ensure IoT devices integration”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [82]
Cites
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al. (2010) · Communications of the ACM · doi:10.1145/1721654.1721672 · Cited by 9,464 · see citing works
An agri-food supply chain traceability system for China based on RFID & blockchain technology
Tian, F. (2016) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2016.7538424 · Cited by 1,027 · see citing works
Liang, X., Shetty, S. S., Tosh, D. K., Kamhoua, C., Kwiat, K., & Njilla, L. (2017) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid.2017.8 · Cited by 745 · see citing works
IoT in Agriculture: Designing a Europe-Wide Large-Scale Pilot
Brewster, C., Roussaki, I. G., Kalatzis, N., Doolin, K., & Ellis, K. A. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600528 · Cited by 374 · see citing works
The Impact of Automatic Identification on Supply Chain Operations
McFarlane, D., & Sheffi, Y. (2003) · The International Journal of Logistics Management · doi:10.1108/09574090310806503 · Cited by 329 · see citing works
Smart Agriculture Based on Cloud Computing and IOT
-, F. T. (2013) · Journal of Convergence Information Technology · doi:10.4156/jcit.vol8.issue2.26 · Cited by 298 · see citing works
Application of RFID Technology for Logistics on Internet of Things
Sun, C. (2012) · AASRI Procedia · doi:10.1016/j.aasri.2012.06.019 · Cited by 231 · see citing works
Using Blockchain and smart contracts for secure data provenance managementPreprint
Ramachandran, A., & Kantarcıoğlu, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1709.10000 · Cited by 76 · see citing works
Smart Agri-Food Logistics: Requirements for the Future Internet
Verdouw, C. N., Sundmaeker, H., Meyer, F., Wolfert, J., & Verhoosel, J. P. C. (2013) · Lecture notes in logistics · doi:10.1007/978-3-642-35966-8_20 · Cited by 44 · see citing works
Inventory transparency for agricultural produce through IOT
Srinivasan, S. P., Shanthi, D., & Anand, A. V. (2017) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/211/1/012009 · Cited by 21 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Blockchain for industry 4.0: a comprehensive review
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2988579 · Cited by 766 · see citing works
Mistry, I., Tanwar, S., Tyagi, S., & Kumar, N. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106382 · Cited by 585 · see citing works
Blockchain applications for industry 4.0 and industrial IoT: a review
Alladi, T., Chamola, V., Parizi, R. M., & Choo, K.-K. R. (2019) · IEEE Access · doi:10.1109/access.2019.2956748 · Cited by 382 · see citing works
Anatomy and resilience of the global production ecosystem
Nyström, M., Jouffray, J.-B., Norström, A. V., Crona, B., Søgaard Jørgensen, P., Carpenter, S. R., Bodin, Ö., Galaz, V., & Folke, C. (2019) · Nature · doi:10.1038/s41586-019-1712-3 · Cited by 343 · see citing works
Blockchain for smart communities: applications, challenges and opportunities
Aggarwal, S., Chaudhary, R., Aujla, G. S., Kumar, N., Choo, K.-K. R., & Zomaya, A. Y. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.06.018 · Cited by 344 · see citing works
A Review of Blockchain-Based Systems in Transportation
Astarita, V., Giofrè, V. P., Mirabelli, G., & Solina, V. (2019) · Information · doi:10.3390/info11010021 · Cited by 180 · see citing works
The role of Internet of Things in food supply chain quality management: A review
Ben-Daya, M., Hassini, E., Bahroun, Z., & Banimfreg, B. H. (2021) · Quality Management Journal · doi:10.1080/10686967.2020.1838978 · Cited by 120 · see citing works
Application of Internet of Things (IoT) for Optimized Greenhouse Environments
Maraveas, C., & Bartzanas, T. (2021) · AgriEngineering · doi:10.3390/agriengineering3040060 · Cited by 106 · see citing works
Alzoubi, Y. I., Gill, A., & Mishra, A. (2022) · Journal of Cloud Computing · doi:10.1186/s13677-022-00353-y · Cited by 60 · see citing works
- Authors
- Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R.
- Affiliations
- FBK CREATE-NET Research Center (IT)
- Venue
- 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany)
- Publisher
- IEEE
- Published
- 2018-05
- Pages
- 1-4
- OpenAlex
- W2805552798
- Cited by
- 861
- References
- 10
- Citations by year
- 2026: 41 · 2025: 89 · 2024: 105 · 2023: 144 · 2022: 160 · 2021: 156 · 2020: 113 · 2019: 48 · 2018: 5
- FWCI
- 63.18
- Type
- conference paper
- Language
- en
- Open access
- green
- ieeexplore.ieee.org
- Licence
- other-oa
- Locations
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, other-oa)
- IRIS eCampus Telematic University (Università degli Studi eCampus) (submittedVersion)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- Funders
- European Commission (688088, HORIZON2020)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, supply chain traceability, agri-food supply chains, Internet of Things, decentralized systems, provenance, Ethereum, Hyperledger Sawtooth, performance evaluation, data integrity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review