Quality in beans: tracking and tracing coffee through automation and machine learning
Leonardo Agnusdei,
Pier Paolo Miglietta,
Giulio Paolo Agnusdei
Abstract:PurposeCoffee is one of the most consumed beverages in the world and the global coffee industry is worth over $100bn. However, the industry faces significant sustainability challenges. Developing a quality traceability system to select the coffee beans and to ensure their authentication would result in economic advantages, because it allows for fraud to be avoided and increases consumer confidence.Design/methodology/approachTraceability is one of the key elements of sustainability in the coffee sector. The lit… Show more
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