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Classifying date fruits using the transfer learning model


Citation

Mohd Adnan, Alia Nadzirah and Nasharuddin, Nurul Amelina (2024) Classifying date fruits using the transfer learning model. Telecommunication Computing Electronics and Control, 22 (4). pp. 861-868. ISSN 1693-6930; eISSN: 2302-9293

Abstract

Date palm trees originate in many tropical regions of the world and produce dates. Each variety can be differentiated through the shape, texture, size, and colour of the fruits. People have difficulties visualising and recognising the types of date fruits because they have many varieties and species. An Android-based mobile application is being proposed to help users quickly identify the dates based on their images and expand their knowledge of dates. The date fruit species classification mobile application categorises nine different varieties of date fruits, namely Ajwa, Medjool, Rutab, Nabtat Ali, Meneifi, Galaxy, Sugaey, Shaishe, and Sokari. The classification, which is based on a transfer learning technique from a pre-trained neural network, achieved a 94.2% accuracy rate. The mobile application features a user-friendly graphical interface that makes it easy to use and understand. Users can learn about different date fruit varieties and improve knowledge retention through a mini game. The application’s usability, usefulness, and interface design were confirmed through the user acceptance survey.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.12928/TELKOMNIKA.v22i4.25924
Publisher: Universitas Ahmad Dahlan
Keywords: Date fruit; Educational technology; Image classification; Malaysia; Mobile application; Transfer learning;
Depositing User: Mr. Mohamad Syahrul Nizam Md Ishak
Date Deposited: 15 Nov 2024 07:01
Last Modified: 15 Nov 2024 07:01
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.12928/TELKOMNIKA.v22i4.25924
URI: http://psasir.upm.edu.my/id/eprint/113070
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