Abstract: A process for determining a tissue composition characteristic of a live animal or carcass involves the steps of: (a) obtaining either or both of at least one infrared thermographic image of the animal while it is alive, taken from at least one view, or at least one image of the carcass of the animal after slaughter, taken from at least one view, each thermographic image being capable of being represented as an array of pixels providing temperature data representative of temperature information at the corresponding part of the image; (b) calculating the value of at least one statistical measure of the temperature data for each thermographic image; (c) providing a predictive model wherein the tissue composition characteristic is included as an output variable, and the statistical measures of temperature data for each thermographic image are included as input variables; and (d) solving the predictive model to provide the value of the tissue composition characteristic.

Abstract: In a process and apparatus for determining grading parameters of a carcass, the outline of an image of the carcass is traced and reference points representing anatomical features of the carcass are identified. Second reference points being located at pre-determined positions relative to the first reference points are then identified. The carcass image is divided into a plurality of sections, the boundaries of each section being determined as a function of the position of the first and second reference points, and the area of each section is determined. A grading parameter predictive equation is determined wherein the grading parameter is included as a dependent variable, and at least one area of a carcass image section is included as an independent variable. Solving the predictive equation provides a value for the grading parameter of the carcass.