This paper examines the fusion of blockchain technology and com- puter vision in the saffron industry to enhance supply chain trans- parency, traceability, and quality control. Saffron, a prized spice, faces challenges related to trust and authenticity. By utilizing block- chain for secure tracking and computer vision for objective quality assessment, this research presents an innovative approach to elevate saffron quality production and distribution, fostering sustainability and reliability in the industry.
Mohammad Rowhani Sistani, Pierluigi Gallo, Maria Timoshina (2024). Red gold traceability: computer vision and blockchain for saffron quality. In BlockSys 2023 - Proceedings of the 5th ACM International Workshop on Blockchain-enabled Networked Sensor Systems (pp. 13-20). Association for Computing Machinery, Inc [10.1145/3628354.3629530].
Red gold traceability: computer vision and blockchain for saffron quality
Mohammad Rowhani SistaniPrimo
;Pierluigi Gallo
Secondo
;Maria TimoshinaUltimo
2024-01-02
Abstract
This paper examines the fusion of blockchain technology and com- puter vision in the saffron industry to enhance supply chain trans- parency, traceability, and quality control. Saffron, a prized spice, faces challenges related to trust and authenticity. By utilizing block- chain for secure tracking and computer vision for objective quality assessment, this research presents an innovative approach to elevate saffron quality production and distribution, fostering sustainability and reliability in the industry.
| File | Dimensione | Formato | |
|---|---|---|---|
|
3232996_removed.pdf
Solo gestori archvio
Tipologia:
Versione Editoriale
Dimensione
5.46 MB
Formato
Adobe PDF
|
5.46 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
