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Image processing of an agriculture produce: Determination of size and ripeness of a banana

Over the last several decades, customers' lifestyles and needs have gone through tremendous changes. These changes are new challenges for the farmers whose produce has to meet the customers' demands. The ability to classify agriculture produce based on size and quality is not only going to...

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Main Authors:	Mustafa N.B.A., Fuad N.A., Ahmed S.K., Abidin A.A.Z., Ali Z., Wong B.Y., Sharrif Z.A.Md.
Other Authors:	57191952020
Format:	Conference paper
Published:	2023
Subjects:	Agriculture Digital image storage Fruit juices Image processing Imaging systems Information technology MATLAB Sales Customer values Optimal sizes Customer satisfaction
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id	my.uniten.dspace-30845
record_format	dspace
spelling	my.uniten.dspace-308452023-12-29T15:54:30Z Image processing of an agriculture produce: Determination of size and ripeness of a banana Mustafa N.B.A. Fuad N.A. Ahmed S.K. Abidin A.A.Z. Ali Z. Wong B.Y. Sharrif Z.A.Md. 57191952020 57210631033 25926812900 25824750400 25824589000 36792961100 6507195893 Agriculture Digital image storage Fruit juices Image processing Imaging systems Information technology MATLAB Sales Customer values Optimal sizes Customer satisfaction Over the last several decades, customers' lifestyles and needs have gone through tremendous changes. These changes are new challenges for the farmers whose produce has to meet the customers' demands. The ability to classify agriculture produce based on size and quality is not only going to help the farmer but also the customer. This will help the farmer to grade the fruit, the seller to price it optimally and the customer value for money. Bananas are classified according to sizes, shapes, textures, colors and taste. The process of getting the size and ripeness of a banana is done from its image using the Image Processing Toolbox in MATLAB. These features are important to determine the optimal size and ripeness. From the size, the grade and type of the banana can be determined. The percentage of ripeness can be determined by evaluating the individual pixels of the image. � 2008 IEEE. Final 2023-12-29T07:54:29Z 2023-12-29T07:54:29Z 2008 Conference paper 10.1109/ITSIM.2008.4631636 2-s2.0-57349115554 https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349115554&doi=10.1109%2fITSIM.2008.4631636&partnerID=40&md5=334284a316bbba957c355c4cd1caf206 https://irepository.uniten.edu.my/handle/123456789/30845 1 4631636 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Agriculture Digital image storage Fruit juices Image processing Imaging systems Information technology MATLAB Sales Customer values Optimal sizes Customer satisfaction
spellingShingle	Agriculture Digital image storage Fruit juices Image processing Imaging systems Information technology MATLAB Sales Customer values Optimal sizes Customer satisfaction Mustafa N.B.A. Fuad N.A. Ahmed S.K. Abidin A.A.Z. Ali Z. Wong B.Y. Sharrif Z.A.Md. Image processing of an agriculture produce: Determination of size and ripeness of a banana
description	Over the last several decades, customers' lifestyles and needs have gone through tremendous changes. These changes are new challenges for the farmers whose produce has to meet the customers' demands. The ability to classify agriculture produce based on size and quality is not only going to help the farmer but also the customer. This will help the farmer to grade the fruit, the seller to price it optimally and the customer value for money. Bananas are classified according to sizes, shapes, textures, colors and taste. The process of getting the size and ripeness of a banana is done from its image using the Image Processing Toolbox in MATLAB. These features are important to determine the optimal size and ripeness. From the size, the grade and type of the banana can be determined. The percentage of ripeness can be determined by evaluating the individual pixels of the image. � 2008 IEEE.
author2	57191952020
author_facet	57191952020 Mustafa N.B.A. Fuad N.A. Ahmed S.K. Abidin A.A.Z. Ali Z. Wong B.Y. Sharrif Z.A.Md.
format	Conference paper
author	Mustafa N.B.A. Fuad N.A. Ahmed S.K. Abidin A.A.Z. Ali Z. Wong B.Y. Sharrif Z.A.Md.
author_sort	Mustafa N.B.A.
title	Image processing of an agriculture produce: Determination of size and ripeness of a banana
title_short	Image processing of an agriculture produce: Determination of size and ripeness of a banana
title_full	Image processing of an agriculture produce: Determination of size and ripeness of a banana
title_fullStr	Image processing of an agriculture produce: Determination of size and ripeness of a banana
title_full_unstemmed	Image processing of an agriculture produce: Determination of size and ripeness of a banana
title_sort	image processing of an agriculture produce: determination of size and ripeness of a banana
publishDate	2023
_version_	1806427529336061952
score	13.222552

Image processing of an agriculture produce: Determination of size and ripeness of a banana

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