A Scheme Based on Deep Learning for Fruit Classification
Grading and classifying fruits are critical due to automated machine learning systems. In computer vision, different fruits have large complexity and similarity to identify the fruit types. In this study, we developed an efficient and reliable fruit grading system. It is very difficult to classify f...
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| Format: | Article |
| Language: | English |
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Mehran University of Engineering and Technology
2025-01-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
| Online Access: | https://publications.muet.edu.pk/index.php/muetrj/article/view/2742 |
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| author | Ali Orangzeb Panhwar Anwar Ali Sathio Nadeem Manzoor Shah Sumaira Memon |
| author_facet | Ali Orangzeb Panhwar Anwar Ali Sathio Nadeem Manzoor Shah Sumaira Memon |
| author_sort | Ali Orangzeb Panhwar |
| collection | DOAJ |
| description | Grading and classifying fruits are critical due to automated machine learning systems. In computer vision, different fruits have large complexity and similarity to identify the fruit types. In this study, we developed an efficient and reliable fruit grading system. It is very difficult to classify fruits from images with established conventional approaches. We used a Convolutional Neural Network (CNN) methodology involving comparing a custom-built CNN and the VGG pre-trained models. In the research results, the VGG model accuracy is of 99.98 percent. This research proved the effectiveness of the deep model in the challenges of fruit classification and set a foundation for its application in automated grading systems. |
| format | Article |
| id | doaj-art-841726da196e49cf865b6b1443e885ea |
| institution | Kabale University |
| issn | 0254-7821 2413-7219 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj-art-841726da196e49cf865b6b1443e885ea2025-01-03T05:23:58ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192025-01-0144181910.22581/muet1982.27422742A Scheme Based on Deep Learning for Fruit ClassificationAli Orangzeb Panhwar0Anwar Ali Sathio1Nadeem Manzoor Shah2Sumaira Memon3Faculty of Computing and Engineering Sciences, SZABIST University Gharo, PakistanDepartment of Computer Science and Information Technology, Benazir Bhutto Shaheed University, Karachi, Sindh, Pakistane Department of Civil Engineering, Mehran University of Engineering Technology, Jamshoro Sindh, PakistanDr. AHS Bukhari, Faculty of Engineering and Technology University of Sindh, Jamshoro, PakistanGrading and classifying fruits are critical due to automated machine learning systems. In computer vision, different fruits have large complexity and similarity to identify the fruit types. In this study, we developed an efficient and reliable fruit grading system. It is very difficult to classify fruits from images with established conventional approaches. We used a Convolutional Neural Network (CNN) methodology involving comparing a custom-built CNN and the VGG pre-trained models. In the research results, the VGG model accuracy is of 99.98 percent. This research proved the effectiveness of the deep model in the challenges of fruit classification and set a foundation for its application in automated grading systems.https://publications.muet.edu.pk/index.php/muetrj/article/view/2742 |
| spellingShingle | Ali Orangzeb Panhwar Anwar Ali Sathio Nadeem Manzoor Shah Sumaira Memon A Scheme Based on Deep Learning for Fruit Classification Mehran University Research Journal of Engineering and Technology |
| title | A Scheme Based on Deep Learning for Fruit Classification |
| title_full | A Scheme Based on Deep Learning for Fruit Classification |
| title_fullStr | A Scheme Based on Deep Learning for Fruit Classification |
| title_full_unstemmed | A Scheme Based on Deep Learning for Fruit Classification |
| title_short | A Scheme Based on Deep Learning for Fruit Classification |
| title_sort | scheme based on deep learning for fruit classification |
| url | https://publications.muet.edu.pk/index.php/muetrj/article/view/2742 |
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