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

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dc.citedby56
dc.contributor.authorMustafa N.B.A.en_US
dc.contributor.authorFuad N.A.en_US
dc.contributor.authorAhmed S.K.en_US
dc.contributor.authorAbidin A.A.Z.en_US
dc.contributor.authorAli Z.en_US
dc.contributor.authorWong B.Y.en_US
dc.contributor.authorSharrif Z.A.Md.en_US
dc.contributor.authorid57191952020en_US
dc.contributor.authorid57210631033en_US
dc.contributor.authorid25926812900en_US
dc.contributor.authorid25824750400en_US
dc.contributor.authorid25824589000en_US
dc.contributor.authorid36792961100en_US
dc.contributor.authorid6507195893en_US
dc.date.accessioned2023-12-29T07:54:29Z
dc.date.available2023-12-29T07:54:29Z
dc.date.issued2008
dc.description.abstractOver 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4631636
dc.identifier.doi10.1109/ITSIM.2008.4631636
dc.identifier.scopus2-s2.0-57349115554
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-57349115554&doi=10.1109%2fITSIM.2008.4631636&partnerID=40&md5=334284a316bbba957c355c4cd1caf206
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30845
dc.identifier.volume1
dc.sourceScopus
dc.sourcetitleProceedings - International Symposium on Information Technology 2008, ITSim
dc.subjectAgriculture
dc.subjectDigital image storage
dc.subjectFruit juices
dc.subjectImage processing
dc.subjectImaging systems
dc.subjectInformation technology
dc.subjectMATLAB
dc.subjectSales
dc.subjectCustomer values
dc.subjectOptimal sizes
dc.subjectCustomer satisfaction
dc.titleImage processing of an agriculture produce: Determination of size and ripeness of a bananaen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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