Development of vision system for detection of brown spot on banana at different ripening stages

Access is limited to UniMAP community.

Saved in:
Bibliographic Details
Main Author: Nur Anis Nabila, Mohamad Marzuki
Other Authors: Aimi Athirah, Aznan
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2021
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73881
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-73881
record_format dspace
spelling my.unimap-738812022-01-28T01:46:42Z Development of vision system for detection of brown spot on banana at different ripening stages Nur Anis Nabila, Mohamad Marzuki Aimi Athirah, Aznan School of Bioprocess Engineering Banana Ripening stages (RS) Computer vision system Brown spot Access is limited to UniMAP community. Banana is one of the most important food sources which contains lot of vitamins and carbohydrate that is important to be consumed in daily diet. Bananas are well known in the world trade as it has higher market value. Most of the suppliers and fruit sellers sorted out banana manually according to their visual inspection which takes into account the external peel color changes as the parameter to determine its quality. The whole process is time consuming, required higher cost; labor intensive and makes it as a slow process. The purpose of this study is to detect the development of brown spot of banana at different ripening stages (RS) by using computer vision system. In this study, 40 banana samples were used in image acquisition. The image was captured by using Charged Coupled Device (CCD) camera set up in a black box. All the banana images were undergo image processing which are pre-processing to permit pre-smoothing of noisy images, enhance the contrast and improve their quality. The image processing procedures such as IMAQ Threshold were carried out in the LabVIEW programming software. The percentage of brown spot area data were extracted based on the acquired image. All of the extracted data were analyzed using Analysis of Variance (ANOVA). From the analysis, the developed RS of banana are used for better knowledge to determine the banana maturity stages. 2021 2022-01-28T01:46:42Z 2022-01-28T01:46:42Z 2017-05 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73881 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Banana
Ripening stages (RS)
Computer vision system
Brown spot
spellingShingle Banana
Ripening stages (RS)
Computer vision system
Brown spot
Nur Anis Nabila, Mohamad Marzuki
Development of vision system for detection of brown spot on banana at different ripening stages
description Access is limited to UniMAP community.
author2 Aimi Athirah, Aznan
author_facet Aimi Athirah, Aznan
Nur Anis Nabila, Mohamad Marzuki
format Learning Object
author Nur Anis Nabila, Mohamad Marzuki
author_sort Nur Anis Nabila, Mohamad Marzuki
title Development of vision system for detection of brown spot on banana at different ripening stages
title_short Development of vision system for detection of brown spot on banana at different ripening stages
title_full Development of vision system for detection of brown spot on banana at different ripening stages
title_fullStr Development of vision system for detection of brown spot on banana at different ripening stages
title_full_unstemmed Development of vision system for detection of brown spot on banana at different ripening stages
title_sort development of vision system for detection of brown spot on banana at different ripening stages
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73881
_version_ 1729704654710767616