Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development

Porawat Visutsak; Xiabi Liu; Keun Ho Ryu; Naphat Bussabong; Nicha Sirikong; Preeyaphorn Intamong; Warakorn Sonnui; Siriwan Boonkerd; Jirawat Thongpiem; Maythar Poonpanit; Akarasate Homwiseswongsa; Kittipot Hirunwannapong; Chaimongkol Suksomsong; Rittikait Budrit

doi:10.3837/tiis.2024.01.008

Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development

Porawat Visutsak, Xiabi Liu, Keun Ho Ryu, Naphat Bussabong, Nicha Sirikong, Preeyaphorn Intamong, Warakorn Sonnui, Siriwan Boonkerd, Jirawat Thongpiem, Maythar Poonpanit, Akarasate Homwiseswongsa, Kittipot Hirunwannapong, Chaimongkol Suksomsong, Rittikait Budrit

School of Computer Science and Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Caladium bicolor is one of the most popular plants in Thailand. The original species of Caladium bicolor was found a hundred years ago. Until now, there are more than 500 species through multiplication. The classification of Caladium bicolor can be done by using its color and shape. This study aims to develop a model to classify Caladium bicolor using a transfer learning technique. This work also presents a proof of concept, GUI design, and web application deployment using the user-design-center method. We also evaluated the performance of the following pre-trained models in this work, and the results are as follow: 87.29% for AlexNet, 90.68% for GoogleNet, 93.59% for XceptionNet, 93.22% for MobileNetV2, 89.83% for RestNet18, 88.98% for RestNet50, 97.46% for RestNet101, and 94.92% for InceptionResNetV2. This work was implemented using MATLAB R2023a.

Original language	English
Pages (from-to)	126-146
Number of pages	21
Journal	KSII Transactions on Internet and Information Systems
Volume	18
Issue number	1
DOIs	https://doi.org/10.3837/tiis.2024.01.008
Publication status	Published - 31 Jan 2024

Keywords

Caladium bicolor
Classification
Feature extraction
Software development
UX/UI concept

Access to Document

10.3837/tiis.2024.01.008

Cite this

Visutsak, P., Liu, X., Ryu, K. H., Bussabong, N., Sirikong, N., Intamong, P., Sonnui, W., Boonkerd, S., Thongpiem, J., Poonpanit, M., Homwiseswongsa, A., Hirunwannapong, K., Suksomsong, C., & Budrit, R. (2024). Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development. KSII Transactions on Internet and Information Systems, 18(1), 126-146. https://doi.org/10.3837/tiis.2024.01.008

@article{163681eed01f400eb6907dcf32f6af68,

title = "Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development",

abstract = "Caladium bicolor is one of the most popular plants in Thailand. The original species of Caladium bicolor was found a hundred years ago. Until now, there are more than 500 species through multiplication. The classification of Caladium bicolor can be done by using its color and shape. This study aims to develop a model to classify Caladium bicolor using a transfer learning technique. This work also presents a proof of concept, GUI design, and web application deployment using the user-design-center method. We also evaluated the performance of the following pre-trained models in this work, and the results are as follow: 87.29% for AlexNet, 90.68% for GoogleNet, 93.59% for XceptionNet, 93.22% for MobileNetV2, 89.83% for RestNet18, 88.98% for RestNet50, 97.46% for RestNet101, and 94.92% for InceptionResNetV2. This work was implemented using MATLAB R2023a.",

keywords = "Caladium bicolor, Classification, Feature extraction, Software development, UX/UI concept",

author = "Porawat Visutsak and Xiabi Liu and Ryu, {Keun Ho} and Naphat Bussabong and Nicha Sirikong and Preeyaphorn Intamong and Warakorn Sonnui and Siriwan Boonkerd and Jirawat Thongpiem and Maythar Poonpanit and Akarasate Homwiseswongsa and Kittipot Hirunwannapong and Chaimongkol Suksomsong and Rittikait Budrit",

note = "Publisher Copyright: {\textcopyright}2024 KSII.",

year = "2024",

month = jan,

day = "31",

doi = "10.3837/tiis.2024.01.008",

language = "English",

volume = "18",

pages = "126--146",

journal = "KSII Transactions on Internet and Information Systems",

issn = "1976-7277",

publisher = "Korea Society of Internet Information",

number = "1",

}

Visutsak, P, Liu, X, Ryu, KH, Bussabong, N, Sirikong, N, Intamong, P, Sonnui, W, Boonkerd, S, Thongpiem, J, Poonpanit, M, Homwiseswongsa, A, Hirunwannapong, K, Suksomsong, C & Budrit, R 2024, 'Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development', KSII Transactions on Internet and Information Systems, vol. 18, no. 1, pp. 126-146. https://doi.org/10.3837/tiis.2024.01.008

TY - JOUR

T1 - Transfer Learning for Caladium bicolor Classification

T2 - Proof of Concept to Application Development

AU - Visutsak, Porawat

AU - Liu, Xiabi

AU - Ryu, Keun Ho

AU - Bussabong, Naphat

AU - Sirikong, Nicha

AU - Intamong, Preeyaphorn

AU - Sonnui, Warakorn

AU - Boonkerd, Siriwan

AU - Thongpiem, Jirawat

AU - Poonpanit, Maythar

AU - Homwiseswongsa, Akarasate

AU - Hirunwannapong, Kittipot

AU - Suksomsong, Chaimongkol

AU - Budrit, Rittikait

PY - 2024/1/31

Y1 - 2024/1/31

N2 - Caladium bicolor is one of the most popular plants in Thailand. The original species of Caladium bicolor was found a hundred years ago. Until now, there are more than 500 species through multiplication. The classification of Caladium bicolor can be done by using its color and shape. This study aims to develop a model to classify Caladium bicolor using a transfer learning technique. This work also presents a proof of concept, GUI design, and web application deployment using the user-design-center method. We also evaluated the performance of the following pre-trained models in this work, and the results are as follow: 87.29% for AlexNet, 90.68% for GoogleNet, 93.59% for XceptionNet, 93.22% for MobileNetV2, 89.83% for RestNet18, 88.98% for RestNet50, 97.46% for RestNet101, and 94.92% for InceptionResNetV2. This work was implemented using MATLAB R2023a.

AB - Caladium bicolor is one of the most popular plants in Thailand. The original species of Caladium bicolor was found a hundred years ago. Until now, there are more than 500 species through multiplication. The classification of Caladium bicolor can be done by using its color and shape. This study aims to develop a model to classify Caladium bicolor using a transfer learning technique. This work also presents a proof of concept, GUI design, and web application deployment using the user-design-center method. We also evaluated the performance of the following pre-trained models in this work, and the results are as follow: 87.29% for AlexNet, 90.68% for GoogleNet, 93.59% for XceptionNet, 93.22% for MobileNetV2, 89.83% for RestNet18, 88.98% for RestNet50, 97.46% for RestNet101, and 94.92% for InceptionResNetV2. This work was implemented using MATLAB R2023a.

KW - Caladium bicolor

KW - Classification

KW - Feature extraction

KW - Software development

KW - UX/UI concept

UR - http://www.scopus.com/inward/record.url?scp=85184848473&partnerID=8YFLogxK

U2 - 10.3837/tiis.2024.01.008

DO - 10.3837/tiis.2024.01.008

M3 - Article

AN - SCOPUS:85184848473

SN - 1976-7277

VL - 18

SP - 126

EP - 146

JO - KSII Transactions on Internet and Information Systems

JF - KSII Transactions on Internet and Information Systems

IS - 1

ER -

Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this