Non‐destructive quantification of egg yolk ratio using visible–near‐infrared hyperspectral imaging, machine learning and explainable <scp>AI</scp>

This research highlights the effectiveness of Vis-NIR HSI integrated with ML and explainable AI as a rapid, reliable and non-destructive approach for egg yolk ratio assessment. The developed method offers significant advantages for egg quality monitoring, providing practical, interpretable and scalable solutions beneficial for food industry applications. © 2025 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.