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ANN-based mango external quality grading system

This paper discuss about intelligent system for fruit grading system by using an artificial neural network (ANN) based on image processing techniques. Due to some constraint, this automatic grading system purpose is to overcome the most common problem faced by the farmer to determine and classify th...

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Main Authors: A. Aziz, M. Rashdi, Htike@Muhammad Yusof, Zaw Zaw
Format: Conference or Workshop Item
Language:English
English
Published: 2017
Subjects:
AC Collections. Series. Collected works
Online Access:http://irep.iium.edu.my/55020/1/Mango%20Grading%20Articel.pdf
http://irep.iium.edu.my/55020/2/1st-BiECUR2017-Abstract%20book.pdf
http://irep.iium.edu.my/55020/
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spelling my.iium.irep.550202017-03-10T17:30:03Z http://irep.iium.edu.my/55020/ ANN-based mango external quality grading system A. Aziz, M. Rashdi Htike@Muhammad Yusof, Zaw Zaw AC Collections. Series. Collected works This paper discuss about intelligent system for fruit grading system by using an artificial neural network (ANN) based on image processing techniques. Due to some constraint, this automatic grading system purpose is to overcome the most common problem faced by the farmer to determine and classify thousand units of fruits. There are several types of algorithms that have been used to extract the features of fruit characters based on the physical parameters by capturing the fruit image and from the extracted information, those samples (mango fruit) will be detected, graded and sorted accordingly to the desired quality. In this project, Python programming language is used since the selected hardware for this particular system to run the image processing is by using the Raspberry Pi (mini computer). The morphological feature such as RGB color model (Red, Green, and Blue), size, and blemish of the fruit is used to identify classes of them by using image processing and classified by the ANN. At the end of the process, all the fruits are being sorted to their grades which is determined by the ANN based on the training data that have been taught to it. 2017-01 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/55020/1/Mango%20Grading%20Articel.pdf application/pdf en http://irep.iium.edu.my/55020/2/1st-BiECUR2017-Abstract%20book.pdf A. Aziz, M. Rashdi and Htike@Muhammad Yusof, Zaw Zaw (2017) ANN-based mango external quality grading system. In: First Bi-annual Engineering Conference on Undergraduate Research, 17 Jan 2017, Gombak. (Unpublished)
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic AC Collections. Series. Collected works
spellingShingle AC Collections. Series. Collected works
A. Aziz, M. Rashdi
Htike@Muhammad Yusof, Zaw Zaw
ANN-based mango external quality grading system
description This paper discuss about intelligent system for fruit grading system by using an artificial neural network (ANN) based on image processing techniques. Due to some constraint, this automatic grading system purpose is to overcome the most common problem faced by the farmer to determine and classify thousand units of fruits. There are several types of algorithms that have been used to extract the features of fruit characters based on the physical parameters by capturing the fruit image and from the extracted information, those samples (mango fruit) will be detected, graded and sorted accordingly to the desired quality. In this project, Python programming language is used since the selected hardware for this particular system to run the image processing is by using the Raspberry Pi (mini computer). The morphological feature such as RGB color model (Red, Green, and Blue), size, and blemish of the fruit is used to identify classes of them by using image processing and classified by the ANN. At the end of the process, all the fruits are being sorted to their grades which is determined by the ANN based on the training data that have been taught to it.
format Conference or Workshop Item
author A. Aziz, M. Rashdi
Htike@Muhammad Yusof, Zaw Zaw
author_facet A. Aziz, M. Rashdi
Htike@Muhammad Yusof, Zaw Zaw
author_sort A. Aziz, M. Rashdi
title ANN-based mango external quality grading system
title_short ANN-based mango external quality grading system
title_full ANN-based mango external quality grading system
title_fullStr ANN-based mango external quality grading system
title_full_unstemmed ANN-based mango external quality grading system
title_sort ann-based mango external quality grading system
publishDate 2017
url http://irep.iium.edu.my/55020/1/Mango%20Grading%20Articel.pdf
http://irep.iium.edu.my/55020/2/1st-BiECUR2017-Abstract%20book.pdf
http://irep.iium.edu.my/55020/
_version_ 1643614661102272512
score 13.211869

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