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This study utilizes near-infrared spectroscopy (NIRS) for the nondestructive classification of green coffee beans based on their production areas, focusing on samples from Cuba, Ethiopia, Indonesia, Tanzania, and Yemen. The classification method employed is Soft Independent Modeling of Class Analogy (SIMCA), achieving over a 73% correct classification rate despite some misclassifications. The research highlights the importance of knowing the production district in the food industry to prevent fraud and ensu

Author

klishes

Language

EN