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Classification of Caladium by Image Processing on the Mobile Application |
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| รหัสดีโอไอ | |
| Creator | Kaewjai Apornpisarn |
| Title | Classification of Caladium by Image Processing on the Mobile Application |
| Contributor | Teerapat Kedsom,Ornicha Theanthong,Chutipong Samgamsue |
| Publisher | School of Information and Communication Technology, University of Phayao |
| Publication Year | 2567 |
| Journal Title | The Journal of Spatial Innovation Development |
| Journal Vol. | 5 |
| Journal No. | 1 |
| Page no. | 60-72 |
| Keyword | Image processing, Classification, Application |
| URL Website | https://ph01.tci-thaijo.org/index.php/jsid/index |
| Website title | The Journal of Spatial Innovation Development |
| ISSN | 2730-1494 |
| Abstract | Caladiums, which grow in tropical areas, have leaves of various sizes and shapes, making it challenging for enthusiasts to distinguish between species by sight alone. The objectives are 1) to classification caladium by using image processing on the mobile application, and 2) to assess user satisfaction of classification caladium by using image processing on the mobile application. The researcher utilized CRISP-DM principles of analysis and design to develop an image classification model. Teachable Machine and the Android Studio program were used to support the classification caladium by using image processing on the mobile application. The research instruments included 15 applications to classify species of caladium and a user satisfaction questionnaire. The data were analyzed using average and standard deviation statistics. The results found that the classification caladium by using image processing on the mobile application, photography must be conducted in an environment with sufficient lighting. This application uses a camera to scan a caladium leaf into the developed application. The system was able to correctly identify caladium species with 95% accuracy. Satisfaction results from 30 users indicated satisfaction with the application. Overall, the average satisfaction rating was 4.58, at the highest level, indicating that the application can fulfill users’ needs and useful usage. |
