A Hybrid Dataset of Blockchain Traceability Architectures in Palm Oil and Agri-Food Supply Chains with Technology Readiness Level (TRL) Assessments

This dataset contains bibliographic records and manual classifications for 154 peer-reviewed studies analyzing blockchain technology in the agri-food and palm oil supply chains. The data was collected from Scopus in December 2025 using a hybrid search strategy to support a systematic literature review and Technology Readiness Level (TRL) assessment.

The dataset is organized into six CSV files representing two main groups:
- Core Set (Palm Oil Specific): Contains 14 studies, manually verified and split into primary technical studies (n=10) and secondary review papers (n=4).
- Context Set (Agri-Food Baseline): Contains 100 primary technical studies (selected via stratified sampling of the top 50 most-cited and top 50 most-recent papers) and 40 secondary review papers.

Each entry includes standard bibliographic metadata (Author, Title, Year, DOI) and custom analysis columns added by the authors:
- Category: Classification as Primary (Technical), Secondary (Review), or Irrelevant.
- TRL: Technology Readiness Level score (1-9) assigned based on the European Commission software scale.
- Platform: The specific blockchain protocol identified (e.g., Ethereum, Hyperledger Fabric).

This data supports the research article "Beyond the Hype: A Technology Readiness Level (TRL) Assessment of Blockchain Architectures for the Indonesian Palm Oil Supply Chain" (Daely et al., 2026). It provides a quantitative baseline for benchmarking the maturity of blockchain solutions against EUDR regulatory requirements.