Physical property characterization of chilled lamb by hyperspectral imaging and partial least squares regression

Key Points

• Physical properties of chilled lamb are effectively characterized using advanced hyperspectral imaging techniques, revealing diverse quality metrics.
• Significant correlations were observed between the imaging data and physical characteristics, with R-squared values exceeding 0.85.
• This analysis utilized partial least squares regression to create predictive models based on hyperspectral data and physical attributes.
• Results may enable improved quality control in meat processing, enhancing consumer safety and product standards.