The technology of image grabbing and image processing for citrus grading was studied．Four pictures were grabbed for each orange from different perspective,a grading algorithm based on citrus color and texture features of four profiles was developed to identify the grade of the citrus efficiently． The experiment take the result of sense evaluation with manpower as grading criterion, and sixty patterns were graded with probabilistic neural network (PNN). The test result showed that the whole discriminating rate was up to 85%,and the rates of first class and fourth class were higher than the rates of second and third classes.