A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.]
The ripening stage is a stage where the fruit is ready to be harvested. During ripening, pectin activity is observed to trigger parenchyma cell wall middle lamella dissolution of a fruit. Additionally, the ripening stage also affects the changing appearance of the fruit. Thus, this research aims to...
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Universiti Teknologi MARA Cawangan Pulau Pinang
2021
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| Online Access: | https://ir.uitm.edu.my/id/eprint/46603/1/66603.pdf https://ir.uitm.edu.my/id/eprint/46603/ https://uppp.uitm.edu.my |
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| _version_ | 1841485721379012608 |
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| author | Maruzuki, Mohd Ikmal Fitri Shahrin, Aisyah Sakina Setumin, Samsul Ramli, Rafidah Aida Senin, Syahrul Fithry Mohamed Talib, Mohd Shukri Osman, Mohamed Syazwan |
| author_facet | Maruzuki, Mohd Ikmal Fitri Shahrin, Aisyah Sakina Setumin, Samsul Ramli, Rafidah Aida Senin, Syahrul Fithry Mohamed Talib, Mohd Shukri Osman, Mohamed Syazwan |
| author_sort | Maruzuki, Mohd Ikmal Fitri |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The ripening stage is a stage where the fruit is ready to be harvested. During ripening, pectin activity is observed to trigger parenchyma cell wall middle lamella dissolution of a fruit. Additionally, the ripening stage also affects the changing appearance of the fruit. Thus, this research aims to develop a classification model based on ANN that can predict or classify the ripening stage based on either pectin activity or fruit appearance. The study will focus specifically on Ficus carica (fig). To achieve the objective, the researchers developed two Multilayer Perceptron (MLP) models: figNN and pectinNN. We trained figNN using features extracted from images of figs with different ripening stages, and pectinNN with a set of the statistical value of pectin activity such as weight (W), brix of sugar (BS), extraction yield (EY), and degree of esterification (ED) from 30 figs with varying degree of ripening. From the result of this research, figNN and pectinNN can distinguish the ripening stage based on either the chemical properties or the images. Furthermore, we can also show that the image-based classification is more accurate than the pectin-based classification. For future work, the study of the correlation between pectin and image features is highly encouraged. |
| format | Article |
| id | my.uitm.ir-46603 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2021 |
| publisher | Universiti Teknologi MARA Cawangan Pulau Pinang |
| record_format | eprints |
| spelling | my.uitm.ir-466032025-08-22T09:00:28Z https://ir.uitm.edu.my/id/eprint/46603/ A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.] esteem Maruzuki, Mohd Ikmal Fitri Shahrin, Aisyah Sakina Setumin, Samsul Ramli, Rafidah Aida Senin, Syahrul Fithry Mohamed Talib, Mohd Shukri Osman, Mohamed Syazwan Industrial research. Research and development Creative ability in technology The ripening stage is a stage where the fruit is ready to be harvested. During ripening, pectin activity is observed to trigger parenchyma cell wall middle lamella dissolution of a fruit. Additionally, the ripening stage also affects the changing appearance of the fruit. Thus, this research aims to develop a classification model based on ANN that can predict or classify the ripening stage based on either pectin activity or fruit appearance. The study will focus specifically on Ficus carica (fig). To achieve the objective, the researchers developed two Multilayer Perceptron (MLP) models: figNN and pectinNN. We trained figNN using features extracted from images of figs with different ripening stages, and pectinNN with a set of the statistical value of pectin activity such as weight (W), brix of sugar (BS), extraction yield (EY), and degree of esterification (ED) from 30 figs with varying degree of ripening. From the result of this research, figNN and pectinNN can distinguish the ripening stage based on either the chemical properties or the images. Furthermore, we can also show that the image-based classification is more accurate than the pectin-based classification. For future work, the study of the correlation between pectin and image features is highly encouraged. Universiti Teknologi MARA Cawangan Pulau Pinang 2021-03 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/46603/1/66603.pdf Maruzuki, Mohd Ikmal Fitri and Shahrin, Aisyah Sakina and Setumin, Samsul and Ramli, Rafidah Aida and Senin, Syahrul Fithry and Mohamed Talib, Mohd Shukri and Osman, Mohamed Syazwan (2021) A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.]. (2021) ESTEEM Academic Journal <https://ir.uitm.edu.my/view/publication/ESTEEM_Academic_Journal.html>, 17 (March). pp. 56-66. ISSN 2289-4934 https://uppp.uitm.edu.my |
| spellingShingle | Industrial research. Research and development Creative ability in technology Maruzuki, Mohd Ikmal Fitri Shahrin, Aisyah Sakina Setumin, Samsul Ramli, Rafidah Aida Senin, Syahrul Fithry Mohamed Talib, Mohd Shukri Osman, Mohamed Syazwan A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.] |
| title | A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.] |
| title_full | A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.] |
| title_fullStr | A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.] |
| title_full_unstemmed | A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.] |
| title_short | A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.] |
| title_sort | multilayer perceptron approach for ficus carica (fig) ripening classification / mohd ikmal fitri maruzuki … [et al.] |
| topic | Industrial research. Research and development Creative ability in technology |
| url | https://ir.uitm.edu.my/id/eprint/46603/1/66603.pdf https://ir.uitm.edu.my/id/eprint/46603/ https://uppp.uitm.edu.my |
| url_provider | http://ir.uitm.edu.my/ |