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With a single harvest a year the efficient processing of harvested hops is of great economic importance to growers. On top of this, the importance of drying immediately after harvest means that batches of hops should be dried in succession in an efficient manner in order to ensure both minimal product wastage and a consistent output quality level. Quality here refers to moisture content and colour of the dried hops. To investigate these during drying both a hyperspectral and a calibrated RGB camera were installed within a pilot scale dryer along with their illumination sources. During drying hops were imaged by both systems, while samples were removed for moisture content analysis. This enabled chemometric investigations into the prediction of moisture and chromatic information with a reduced wavelength set. Moisture content prediction was shown to be feasible (r2= 0.94, RMSE= 0.27) for the test set using 8 wavelengths. CIELAB a* prediction was also seen to be feasible (r2= 0.75, RMSE= 3.75), alongside CIELAB b* prediction (r2= 0.52 and RMSE= 2.66). Future work to improve the current predictive models is also outlined.