The Development of Apple MRI Dataset for Internal Quality Analysis

Abstract

Internal quality assessment of agricultural products is challenging for exporting premium quality of Agri products like apple fruits. In this, we have analyzed the internal quality of apple fruits by a non-destructive method. We have developed our own dataset of MR images of apples by subjecting 21 apples into MRI scanning for the development of robotics detection of internal defects in apples. This MRI scanning led into 196 MR images Comparative study was carried out on the basis of MRI images with respective external photographic images of apple fruits. The apples were grouped into four categories depending on external and internal defects. By this study, we can easily identify the percentage and area of the defect without affecting the physical appearance of the apple.