Devices, systems and methods for sorting and labelling food products

A device for one or more of sorting and labelling food products, the device comprising:

• at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for a plurality of segments of a line;
• a memory storing one or more machine learning algorithms trained to classify the respective spectra of the plurality of segments into categories indicative of one or more food parameters;
• and
• a controller in communication with the at least one line-scan dispersive spectrometer, the memory and one or more of a sorting device and a labelling device, the controller configured to:
• receive, from the at least one line-scan dispersive spectrometer, the respective spectra of the food products for the plurality of segments of the line;
• apply the one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of the one or more food parameters;
• and
• control one or more of the sorting device and the labelling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labelled according to the at least one of the one or more food parameters.