The Process of Grading and Segregation of chicken eggs in various breeds plays a Vital role to assess the standards of eggs that can enable the market to provide Quality eggs to the consumers. The current traditional grading mechanisms are manual and carried on observable traits like shell color and form, that are prone to human mistakes. These manual methods not only make the process cumbersome, but also raises the management cost. To overcome these challenges, this research aimed to differentiate Rhode Island red and white leghorn chicken eggs using non-destructive hyperspectral imaging techniques. Unlike manual inspection or invasive tagging, a nondestructive hyperspectral imaging setup captures a wide range of spectral information from chicken eggs, identifying minor differences in color and texture among different egg breeds in poultry farming. In this experiment, a sample set of 72 Rhode Island red and 72 white leghorn chicken eggs has been tested by using hyperspectral imaging. Spectral features of each breed say Rhode Island red and white leghorn chicken eggs have been identified to differentiate both the breeds.