Applying a Computer Vision System to Monitor External Quality Attributes of Damaged Banana Fruit During Storage

DOI

10.2991/978-94-6463-128-9_21How to use a DOI?

Keywords

Banana; total color difference; storage; image processing; browning spots

Abstract

Consumer’s interest in food safety and quality is increasing, mainly due to the international food trade, which needs rapid and non-destructive inspection techniques. The computer vision system is highly correlated with recent usage in the food and agriculture industry. Therefore, this study aimed to perform the computer vision system (CVS) to investigate the external quality of mechanically damaged bananas ‘Somali’ after 25 days of storage at three temperature conditions. Bananas were damaged by the drop impact test by dropping a stainless-steel ball of 110 g through a hollow pipe at 40 and 60 cm drop heights. Bananas with no damage were set as control. Bruised and non-bruised bananas were stored at 5, 13, and 22 ℃. A computer vision system was used to measure the external properties of bananas like color, surface area, and browning spots. The captured Red, Green, and Blue (RGB) images were analyzed by ImageJ software. The principal component analysis (PCA) was used to study the correlation between the studied parameters. The results of the study showed a high reduction percentage in surface area in 60 cm bruised bananas stored at 22 ℃. Storage at 13 ℃ showed the least changes in color and browning spots after 25 days of storage. The study can confirm the effectiveness and efficiency of using a computer vision system and image processing in determining the most common sensory attributes in perishable fruit like bananas.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mai Al-Dairi
AU  - Pankaj B. Pathare
AU  - Rashid Al-Yahyai
PY  - 2023
DA  - 2023/04/19
TI  - Applying a Computer Vision System to Monitor External Quality Attributes of Damaged Banana Fruit During Storage
BT  - Proceedings of the 3rd International Conference on Sustainable Agriculture for Rural Development (ICSARD 2022)
PB  - Atlantis Press
SP  - 199
EP  - 207
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-128-9_21
DO  - 10.2991/978-94-6463-128-9_21
ID  - Al-Dairi2023
ER  -