Rapid traceability of coffee bean by integrating an electronic tongue with knowledge distillation and transfer learning

Key Points

• The electronic tongue effectively differentiates coffee bean origins, enhancing traceability with precision.
• Using transfer learning, this method achieves up to 95% accuracy in origin identification, showcasing its efficacy.
• Analysis incorporates data from various sources to streamline and improve the traceability process.
• Findings suggest potential implementation in quality control, though real-world testing is needed for validation.