Authors - Ahmed Abdelmoula, Balint Molnar Abstract - Honey fraud, including adulteration, origin mislabeling, and unsuitable thermal handling, remains difficult to control because analytical verification and digital traceability are rarely integrated. Laboratory methods can assess honey quality and authenticity, while blockchain systems can protect traceability records; however, ledger immutability does not ensure that recorded evidence is scientifically valid. This paper introduces a preliminary framework for converting honey-quality metrics into states suitable for permissioned blockchain environments. The architecture combines IoT sensing, edge-level validation, metric computation, offchain storage, cryptographic referencing, and rule-based smart-contract logic. The main contribution is a metric-to-state mapping mechanism that encodes environmental, biochemical, and process-related evidence as blockchain events, hashes, quality indicators, and certification states. A simulation-based prototype evaluates a 24-hour hive-monitoring scenario using synthetic temperature and humidity readings collected every 15 minutes. Of 96 generated readings, 93 passed validation and were aggregated into 24 hourly quality-state transactions, reducing potential ledger entries by 75% while preserving SHA–256 hash-chain integrity. The results provide initial feasibility evidence for the proposed sensor-to-ledger pipeline, while remaining limited to a proof-of-concept setting rather than a full industrial deployment or permissioned blockchain benchmark. Future work will incorporate real hive data, laboratory measurements, and complete permissioned blockchain implementation.
