Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394614
Title: Image processing of an agriculture produce : determination of size and ripeness of a banana
Authors: Nur Badariah Ahmad Mustafa
Nurashikin Ahmad Fuad
Syed Khaleel Ahmad
Aidil Azwin Zainul Abidin
Zaipatimah Ali
Wong Bing Yit
Zainul Abidin Md Sharrif
Conference Name: International Symposium on Information Technology
Keywords: Banana ripeness
Image Processing Toolbox
Agricultural product
Conference Date: 26/08/2008
Conference Location: Kuala Lumpur Convention Centre
Abstract: Over the last several decades, customers' lifestyle and needs have gone through tremendous changes. These changes are new challenges for the farmers whose produce has to meet the customers' demand. 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 fruits, 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.
Volume: Vol. 1
Pages: 733-739 p.
Call Number: kat sem T58.5.C634
Publisher: Institute of Institute of Electrical and Electronics Engineers. Inc
URI: https://ptsldigital.ukm.my/jspui/handle/123456789/394614
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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