| Investigating non-destructive methods of apple bruise detection |
| Paper ID : 1140-NICAME1402 |
| Authors: |
|
Nadia Saadati *1, Majid Dadkhah Qaleh Joogh2, Vali Rasooli Sharabiani2 1Agricultural Mechanization Department, Faculty of Agriculture and Natural Resources, Mohagheg Ardabili University, Ardabil, Iran 2Department of Agricultural Biosystem Engineering, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, Ardabil, Iran |
| Abstract: |
| Apple is one of the most consumed fruits in the world, which is essential for human health due to its rich vitamins and minerals with high nutritional value. However, apples are susceptible to bruising due to a number of activities during harvesting, transportation, grading and sorting. Bruised apple tissue rots over a large area over time, contaminating even adjacent apples, leading to reduced market value, negative impact on nutritional content, and potential food safety issues. Therefore, it is desirable to remove bruised apples before transfer to the storage warehouse, which requires technology to identify bruised apples. Considering the short time interval (1-2 hours) between the occurrence of bruising and apple storage, this technology should be able to detect this type of bruising in the early stages, which are generally invisible visually. In this article, we have investigated some non-destructive methods of apple bruise detection and while explaining the use of these methods, we have compared them. The purpose of compiling this article is to find the best and fastest way to detect apple bruising. |
| Keywords: |
| Apple bruising, non-destructive methods, hyperspectral imaging, deep learning |
| Status : Paper Accepted (Poster Presentation) |
