Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development
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...
Gespeichert in:
| Veröffentlicht in: | KSII transactions on Internet and information systems 2024-01, Vol.18 (1), p.126-146 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | kor |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 146 |
|---|---|
| container_issue | 1 |
| container_start_page | 126 |
| container_title | KSII transactions on Internet and information systems |
| container_volume | 18 |
| creator | 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 |
| description | 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. |
| format | Article |
| fullrecord | <record><control><sourceid>kiss_kisti</sourceid><recordid>TN_cdi_kisti_ndsl_JAKO202408562660783</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><kiss_id>4071163</kiss_id><sourcerecordid>4071163</sourcerecordid><originalsourceid>FETCH-LOGICAL-k503-5598485b8c0ef99fef94e17b740a7faef9174ee12b2c504a792ae234d12d170f3</originalsourceid><addsrcrecordid>eNpNjEtLxDAUhYMoOIzzC9xk47KQd1J3Q31bGBfdl6RNJEyalKQK_nsrDiJc7jnn8p17Bja4lqKSRMrzf_4S7ErxBmGiiGBKbYDpso7F2Qxbq3P08R26lGGjgx79xwSNH1L4OQS9Np0f9OJTvIVvOSUH12lSHOy8wCXB_TyHEwDv7KcNaZ5sXK7AhdOh2N1Jt6B7uO-ap6o9PD43-7Y6ckQrzmvFFDdqQNbVtVsXs1gayZCWTq8RS2YtJoYMHDEta6ItoWzEZMQSOboFN79vj74svo9jCf3L_vVAEGFIcUGEQFLRlbv-40o_Zz_p_NUzJDEWlH4DOfRbQg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>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</creator><creatorcontrib>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</creatorcontrib><description>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.</description><identifier>ISSN: 1976-7277</identifier><identifier>EISSN: 1976-7277</identifier><language>kor</language><publisher>한국인터넷정보학회</publisher><subject>Caladium bicolor ; Classification ; Feature extraction ; Software development ; UI concept ; UX</subject><ispartof>KSII transactions on Internet and information systems, 2024-01, Vol.18 (1), p.126-146</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882</link.rule.ids></links><search><creatorcontrib>Porawat Visutsak</creatorcontrib><creatorcontrib>Xiabi Liu</creatorcontrib><creatorcontrib>Keun Ho Ryu</creatorcontrib><creatorcontrib>Naphat Bussabong</creatorcontrib><creatorcontrib>Nicha Sirikong</creatorcontrib><creatorcontrib>Preeyaphorn Intamong</creatorcontrib><creatorcontrib>Warakorn Sonnui</creatorcontrib><creatorcontrib>Siriwan Boonkerd</creatorcontrib><creatorcontrib>Jirawat Thongpiem</creatorcontrib><creatorcontrib>Maythar Poonpanit</creatorcontrib><creatorcontrib>Akarasate Homwiseswongsa</creatorcontrib><creatorcontrib>Kittipot Hirunwannapong</creatorcontrib><creatorcontrib>Chaimongkol Suksomsong</creatorcontrib><creatorcontrib>Rittikait Budrit</creatorcontrib><title>Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development</title><title>KSII transactions on Internet and information systems</title><addtitle>KSII Transactions on Internet and Information Systems (TIIS)</addtitle><description>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.</description><subject>Caladium bicolor</subject><subject>Classification</subject><subject>Feature extraction</subject><subject>Software development</subject><subject>UI concept</subject><subject>UX</subject><issn>1976-7277</issn><issn>1976-7277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>JDI</sourceid><recordid>eNpNjEtLxDAUhYMoOIzzC9xk47KQd1J3Q31bGBfdl6RNJEyalKQK_nsrDiJc7jnn8p17Bja4lqKSRMrzf_4S7ErxBmGiiGBKbYDpso7F2Qxbq3P08R26lGGjgx79xwSNH1L4OQS9Np0f9OJTvIVvOSUH12lSHOy8wCXB_TyHEwDv7KcNaZ5sXK7AhdOh2N1Jt6B7uO-ap6o9PD43-7Y6ckQrzmvFFDdqQNbVtVsXs1gayZCWTq8RS2YtJoYMHDEta6ItoWzEZMQSOboFN79vj74svo9jCf3L_vVAEGFIcUGEQFLRlbv-40o_Zz_p_NUzJDEWlH4DOfRbQg</recordid><startdate>20240130</startdate><enddate>20240130</enddate><creator>Porawat Visutsak</creator><creator>Xiabi Liu</creator><creator>Keun Ho Ryu</creator><creator>Naphat Bussabong</creator><creator>Nicha Sirikong</creator><creator>Preeyaphorn Intamong</creator><creator>Warakorn Sonnui</creator><creator>Siriwan Boonkerd</creator><creator>Jirawat Thongpiem</creator><creator>Maythar Poonpanit</creator><creator>Akarasate Homwiseswongsa</creator><creator>Kittipot Hirunwannapong</creator><creator>Chaimongkol Suksomsong</creator><creator>Rittikait Budrit</creator><general>한국인터넷정보학회</general><scope>HZB</scope><scope>Q5X</scope><scope>JDI</scope></search><sort><creationdate>20240130</creationdate><title>Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-k503-5598485b8c0ef99fef94e17b740a7faef9174ee12b2c504a792ae234d12d170f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2024</creationdate><topic>Caladium bicolor</topic><topic>Classification</topic><topic>Feature extraction</topic><topic>Software development</topic><topic>UI concept</topic><topic>UX</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Porawat Visutsak</creatorcontrib><creatorcontrib>Xiabi Liu</creatorcontrib><creatorcontrib>Keun Ho Ryu</creatorcontrib><creatorcontrib>Naphat Bussabong</creatorcontrib><creatorcontrib>Nicha Sirikong</creatorcontrib><creatorcontrib>Preeyaphorn Intamong</creatorcontrib><creatorcontrib>Warakorn Sonnui</creatorcontrib><creatorcontrib>Siriwan Boonkerd</creatorcontrib><creatorcontrib>Jirawat Thongpiem</creatorcontrib><creatorcontrib>Maythar Poonpanit</creatorcontrib><creatorcontrib>Akarasate Homwiseswongsa</creatorcontrib><creatorcontrib>Kittipot Hirunwannapong</creatorcontrib><creatorcontrib>Chaimongkol Suksomsong</creatorcontrib><creatorcontrib>Rittikait Budrit</creatorcontrib><collection>Korean Studies Information Service System (KISS)</collection><collection>Korean Studies Information Service System (KISS) B-Type</collection><collection>KoreaScience</collection><jtitle>KSII transactions on Internet and information systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Porawat Visutsak</au><au>Xiabi Liu</au><au>Keun Ho Ryu</au><au>Naphat Bussabong</au><au>Nicha Sirikong</au><au>Preeyaphorn Intamong</au><au>Warakorn Sonnui</au><au>Siriwan Boonkerd</au><au>Jirawat Thongpiem</au><au>Maythar Poonpanit</au><au>Akarasate Homwiseswongsa</au><au>Kittipot Hirunwannapong</au><au>Chaimongkol Suksomsong</au><au>Rittikait Budrit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development</atitle><jtitle>KSII transactions on Internet and information systems</jtitle><addtitle>KSII Transactions on Internet and Information Systems (TIIS)</addtitle><date>2024-01-30</date><risdate>2024</risdate><volume>18</volume><issue>1</issue><spage>126</spage><epage>146</epage><pages>126-146</pages><issn>1976-7277</issn><eissn>1976-7277</eissn><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.</abstract><pub>한국인터넷정보학회</pub><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1976-7277 |
| ispartof | KSII transactions on Internet and information systems, 2024-01, Vol.18 (1), p.126-146 |
| issn | 1976-7277 1976-7277 |
| language | kor |
| recordid | cdi_kisti_ndsl_JAKO202408562660783 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Caladium bicolor Classification Feature extraction Software development UI concept UX |
| title | Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T07%3A56%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-kiss_kisti&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transfer%20Learning%20for%20Caladium%20bicolor%20Classification:%20Proof%20of%20Concept%20to%20Application%20Development&rft.jtitle=KSII%20transactions%20on%20Internet%20and%20information%20systems&rft.au=Porawat%20Visutsak&rft.date=2024-01-30&rft.volume=18&rft.issue=1&rft.spage=126&rft.epage=146&rft.pages=126-146&rft.issn=1976-7277&rft.eissn=1976-7277&rft_id=info:doi/&rft_dat=%3Ckiss_kisti%3E4071163%3C/kiss_kisti%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_kiss_id=4071163&rfr_iscdi=true |