An arrangement for automatically removing a strip of dark meat from a fish fillet has a conveying unit for transporting the fish fillet from an inlet to an outlet area in a transport direction along a transport path. Starting from the inlet area, successively along the transport path, are provided: a detector for detecting dark meat; a first cutting apparatus for removing a middle partial strip of dark meat; an opener for opening up the fillet such that the cut surfaces of a ventral-side partial and of a dorsal-side partial strip of dark meat point upwards; a cutting unit for removing the partial strips, the cutting unit comprising second and third cutting apparatuses for removing the ventral and dorsal-side partial strips. A control device is connected to the detector and the cutting apparatus, and all cuts are based on information from the detector.

A system for processing food products comprises a slicing apparatus that is configured to cut off slices from food products and to form part portions having one or more slices in a portioning section. A transport device adjoining the portioning section is provided and the portioning section comprises a conveying device that transfers the part portions to the transport device. The system comprises a stacking apparatus that is configured to form a food portion comprising a plurality of part portions. The transport device is configured to transport the part portions onto a product support of the stacking apparatus, wherein the transport device and/or the stacking apparatus has/have a scale for measuring the weight of the part portions and/or of the food portion.

A method carried out by a computing device may include: receiving a plurality of models each associated with a type of sub-primal cut, including a reference shape(s) for detection of a corresponding match characteristic by a corresponding scan type, and including a plurality of attribute characteristic value ranges; receiving a registered scan of a sub-primal cut including scans showing corresponding match characteristics; identifying attribute characteristics for the sub-primal cut using the registered scan; concurrently aligning reference shape(s) of each model to corresponding match characteristics and calculating a shape match values based on the alignment; determining a best model match for the registered scan using a plurality of attribute match values calculate based on the identified attribute characteristics compared to the attribute characteristic value ranges and the plurality of shape match values; and assigning a type of sub-primal cut to the sub-primal cut based on the best model match.