Abstract: Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.

Abstract: A lighting apparatus which indicates a condition and positions of a product moving along a conveyor is provided. The lighting apparatus includes one or more sensors configured to capture a condition reading of the product and a position reading of the product; a line of lights configured for installation proximate to the conveyor and along the path of the conveyor, the lights of the line of lights configurable between different visual states; a controller to determine a condition of the product based on the condition reading, determine an initial position of the product based on the position reading, generate a schedule for controlling visual states of the lights of the line of lights to indicate the condition of the product and positions of the product, and control the visual states of the lights of the line of lights according to the schedule.