A study on quality grading of 'Jonagold' apples

In this paper preliminary results on quality grading of 'Jonagold' apples are presented. Apple area is divided into subregions from where various features are extracted. Another segmentation method, 'geometric centers', is also introduced. Effects of direct vs. separate principle components analysis and k-nearest neighbor vs. neural network classifiers on the performance are discussed.