Toward trustworthy non-destructive mango quality prediction using hyperspectral imaging and explainable AI

Key Points

• Quality prediction is achieved through advanced hyperspectral imaging techniques, enhancing accuracy and trust.
• The method focuses on fruit ripeness assessment, essential for consumer satisfaction and market value.
• Utilization of explainable AI ensures that predictions are transparent and understandable for stakeholders.
• This approach may enable significant improvements in agricultural practices and food supply chain management.