Classifying date fruits using the transfer learning model
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113070/ http://psasir.upm.edu.my/id/eprint/113070/1/113070.pdf |
| _version_ | 1848866118214615040 |
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| author | Mohd Adnan, Alia Nadzirah Nasharuddin, Nurul Amelina |
| author_facet | Mohd Adnan, Alia Nadzirah Nasharuddin, Nurul Amelina |
| author_sort | Mohd Adnan, Alia Nadzirah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T14:15:31Z |
| format | Article |
| id | upm-113070 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:15:31Z |
| publishDate | 2024 |
| publisher | Universitas Ahmad Dahlan |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1130702024-11-15T07:01:01Z http://psasir.upm.edu.my/id/eprint/113070/ Classifying date fruits using the transfer learning model Mohd Adnan, Alia Nadzirah Nasharuddin, Nurul Amelina 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. Universitas Ahmad Dahlan 2024 Article PeerReviewed text en cc_by_sa_4 http://psasir.upm.edu.my/id/eprint/113070/1/113070.pdf 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 https://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/25924 10.12928/TELKOMNIKA.v22i4.25924 |
| spellingShingle | Mohd Adnan, Alia Nadzirah Nasharuddin, Nurul Amelina Classifying date fruits using the transfer learning model |
| title | Classifying date fruits using the transfer learning model |
| title_full | Classifying date fruits using the transfer learning model |
| title_fullStr | Classifying date fruits using the transfer learning model |
| title_full_unstemmed | Classifying date fruits using the transfer learning model |
| title_short | Classifying date fruits using the transfer learning model |
| title_sort | classifying date fruits using the transfer learning model |
| url | http://psasir.upm.edu.my/id/eprint/113070/ http://psasir.upm.edu.my/id/eprint/113070/ http://psasir.upm.edu.my/id/eprint/113070/ http://psasir.upm.edu.my/id/eprint/113070/1/113070.pdf |