Abstract
The potential of hyperspectral imaging in the Vis-NIR range (400–1000 nm) for evaluating the quality of button mushrooms was compared to conventional RGB imaging using a digital colour camera. Regression models were built to correlate hyperspectral and RGB imaging data with measured Hunter L colour values. Prediction maps were generated from both hyperspectral and RGB imaging data to compare performance of the models at pixel level. Results presented showed that hyperspectral imaging is more suitable than conventional RGB imaging for evaluating mushroom quality.
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