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 (2023). Red gold traceability: computer vision and blockchain for saffron quality. In Proceedings of ACM BlockSys, Oct 2023, Istanbul.

Red gold traceability: computer vision and blockchain for saffron quality

Mohammad Rowhani Sistani
Primo
;
Pierluigi Gallo
Secondo
;
Maria Timoshina
Ultimo
2023-01-01

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.
2023
979-8-4007-0439-0
Mohammad Rowhani Sistani, Pierluigi Gallo, Maria Timoshina (2023). Red gold traceability: computer vision and blockchain for saffron quality. In Proceedings of ACM BlockSys, Oct 2023, Istanbul.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/615473
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