Abstract: The disclosure relates to methods and systems for carcass processing options based on a primal/subprimal weights and yield training module. In one embodiment, the methods and systems disclosed herein use automated methods to process image data, process the image data using one or more trained modules, and determine carcass processing options based on an estimated weight calculation output from the trained modules, without using a scale-based weight measurement as an input.

Abstract: The disclosure relates to a system and method for identifying one or more features in a meat sample. In one embodiment, the system and method disclosed herein uses automated methods to identify a backfinned pork loin and a non-backfinned pork loin. The system and method disclosed herein comprises imaging a meat sample with an imaging device to obtain one or more images; and using an iteratively trained feature detection model to detect and identify one or more features, including the presence or absence of the features in the images of the meat sample.

Abstract: The disclosure relates to methods and systems for determining muscle fascicle fracturing in a meat sample. In one embodiment, the methods and systems disclosed herein use automated methods to determine muscle fascicle fracturing. Methods and systems disclosed herein comprise imaging a meat sample with an imaging device to obtain one or more images; and using an iteratively trained training detection model to determine an objective classification, including the presence or absence of muscle fascicle fracturing in the images of the meat sample.