The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Blockchain-Based Soybean Traceability in Agricultural Supply Chain
Open accessAbstract
The globalized production and the distribution of agriculture production bring a renewed focus on the safety, quality, and the validation of several important criteria in agriculture and food supply chains. The growing number of issues related to food safety and contamination risks has established an immense need for effective traceability solution that acts as an essential quality management tool ensuring adequate safety of products in the agricultural supply chain. Blockchain is a disruptive technology that can provide an innovative solution for product traceability in agriculture and food supply chains. Today's agricultural supply chains are complex ecosystem involving several stakeholders making it cumbersome to validate several important criteria such as country of origin, stages in crop development, conformance to quality standards, and monitor yields. In this paper, we propose an approach that leverages the Ethereum blockchain and smart contracts efficiently perform business transactions for soybean tracking and traceability across the agricultural supply chain. Our proposed solution eliminates the need for a trusted centralized authority, intermediaries and provides transactions records, enhancing efficiency and safety with high integrity, reliability, and security. The proposed solution focuses on the utilization of smart contracts to govern and control all interactions and transactions among all the participants involved within the supply chain ecosystem. All transactions are recorded and stored in the blockchain's immutable ledger with links to a decentralized file system (IPFS) and thus providing to all a high level of transparency and traceability into the supply chain ecosystem in a secure, trusted, reliable, and efficient manner.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Blockchain for AI: review and open research challenges
Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890507 · Cited by 1,001
Self-citationBlockchain-based traceability in Agri-Food supply chain management: A practical implementation
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018) · 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany) · doi:10.1109/iot-tuscany.2018.8373021 · Cited by 861
Combating Deepfake Videos Using Blockchain and Smart Contracts
Hasan, H. R., & Salah, K. (2019) · IEEE Access · doi:10.1109/access.2019.2905689 · Cited by 339 · cited 1×
“The blockchain is basically an immutable and decentralized, shared public ledger of transactions which allows participants to keep track of transactions without central record-keeping [10]–[12].”
BackgroundSelf-citation
Cited by
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545
Blockchain in Agriculture Traceability Systems: A Review
Demestichas, K., Peppes, N., Alexakis, T., & Adamopoulou, E. (2020) · Applied Sciences · doi:10.3390/app10124113 · Cited by 412
Bhushan, B., Khamparia, A., Sagayam, K. M., Sharma, S. K., Ahad, M. A., & Debnath, N. C. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102360 · Cited by 353
Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System
Marbouh, D., Abbasi, T., Maasmi, F., Omar, I. A., Debe, M. S., Salah, K., Jayaraman, R., & Ellahham, S. (2020) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-020-04950-4 · Cited by 267
Self-citationBlockchain technology in the smart city: A bibliometric review
Rejeb, A., Rejeb, K., Simske, S. J., & Keogh, J. G. (2022) · Quality & Quantity · doi:10.1007/s11135-021-01251-2 · Cited by 104
Metadata
- Authors
- Salah, K., Nizamuddin, N., Jayaraman, R., & Omar, M.
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 73295-73305
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2945437340
- Cited by
- 702
- References
- 3
- FWCI
- 107.78
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Blockchain-Based Soybean Traceability in Agricultural Supply Chain. https://app.cochat.ai/papers/10.1109/access.2019.2918000
- The paper
- Salah, K., Nizamuddin, N., Jayaraman, R., & Omar, M. (2019). Blockchain-Based Soybean Traceability in Agricultural Supply Chain. IEEE Access. https://doi.org/10.1109/access.2019.2918000
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.