A multilayer perceptron approach for Ficus carica (fig) ripening classification / Mohd Ikmal Fitri Maruzuki … [et al.]

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.]. ESTEEM Academic Journal, 17. pp. 56-66. ISSN 2289-4934

Official URL: https://uppp.uitm.edu.my


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.


Item Type: Article
Email / ID Num.
Maruzuki, Mohd Ikmal Fitri
Shahrin, Aisyah Sakina
Setumin, Samsul
Ramli, Rafidah Aida
Senin, Syahrul Fithry
Mohamed Talib, Mohd Shukri
Osman, Mohamed Syazwan
Subjects: T Technology > T Technology (General) > Industrial research. Research and development
T Technology > T Technology (General) > Creative ability in technology
Divisions: Universiti Teknologi MARA, Pulau Pinang
Journal or Publication Title: ESTEEM Academic Journal
UiTM Journal Collections: UiTM Journal > ESTEEM Academic Journal (EAJ)
ISSN: 2289-4934
Volume: 17
Page Range: pp. 56-66
Keywords: Multilayer Perceptron (MLP); figs; fruit ripening; pectin; image analysis
Date: March 2021
URI: https://ir.uitm.edu.my/id/eprint/46603
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