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Quality in beans: tracking and tracing coffee through automation and machine learning

Year: 2024

Type: article

Source: EuroMed Journal of Business

DOI: 10.1108/emjb-05-2024-0129

Authors: Leonardo Agnusdei, Pier Paolo Miglietta, Giulio Paolo Agnusdei

Institutions: University of Salento, Pegaso University

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure, Zero hunger

Open Access status: closed

OpenAlex ID: W4402028947

FWCI: 0.999

Cites: 56

Cited by: 6

Related to: 10