Data mining approach to herbs classification
Herbs are one of the high-value products in Malaysia. The term „herbs‟ has more than one definition. It is also demanding by multiple manifolds. Herbs are used in many sectors nowadays. The ability to identify variety herbs in the market is quite hard without the intervention of human experts. Unfor...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2018
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5876/ http://eprints.uthm.edu.my/5876/1/AJ%202018%20%28634%29.pdf |
| _version_ | 1848888658379145216 |
|---|---|
| author | Ahmad Dali, Adillah Dayana Omar, Nurul Aswa Mustapha, Aida |
| author_facet | Ahmad Dali, Adillah Dayana Omar, Nurul Aswa Mustapha, Aida |
| author_sort | Ahmad Dali, Adillah Dayana |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Herbs are one of the high-value products in Malaysia. The term „herbs‟ has more than one definition. It is also demanding by multiple manifolds. Herbs are used in many sectors nowadays. The ability to identify variety herbs in the market is quite hard without the intervention of human experts. Unfortunately, human experts are prone to error. Herbs classification is able to assist human experts and at the same time minimizing the intervention. This research performs identification and classification of herbs based on image capture ad variety of classification algorithms such as an Artificial Neural Network (ANN), K-Nearest Neighbors (IBK), Decision Table (DT) and M5P Tree algorithms. The selected algorithms are implemented and evaluated to their relative performance and IBK is found to produce the highest quality outputs. |
| first_indexed | 2025-11-15T20:13:47Z |
| format | Article |
| id | uthm-5876 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:13:47Z |
| publishDate | 2018 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-58762022-01-24T06:37:20Z http://eprints.uthm.edu.my/5876/ Data mining approach to herbs classification Ahmad Dali, Adillah Dayana Omar, Nurul Aswa Mustapha, Aida QA76.75-76.765 Computer software Herbs are one of the high-value products in Malaysia. The term „herbs‟ has more than one definition. It is also demanding by multiple manifolds. Herbs are used in many sectors nowadays. The ability to identify variety herbs in the market is quite hard without the intervention of human experts. Unfortunately, human experts are prone to error. Herbs classification is able to assist human experts and at the same time minimizing the intervention. This research performs identification and classification of herbs based on image capture ad variety of classification algorithms such as an Artificial Neural Network (ANN), K-Nearest Neighbors (IBK), Decision Table (DT) and M5P Tree algorithms. The selected algorithms are implemented and evaluated to their relative performance and IBK is found to produce the highest quality outputs. Institute of Advanced Engineering and Science 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5876/1/AJ%202018%20%28634%29.pdf Ahmad Dali, Adillah Dayana and Omar, Nurul Aswa and Mustapha, Aida (2018) Data mining approach to herbs classification. Indonesian Journal of Electrical Engineering and Computer Science, 12 (2). pp. 570-576. ISSN 2502-4752 https://doi.org/10.11591/ijeecs.v12.i2.pp570-576 |
| spellingShingle | QA76.75-76.765 Computer software Ahmad Dali, Adillah Dayana Omar, Nurul Aswa Mustapha, Aida Data mining approach to herbs classification |
| title | Data mining approach to herbs classification |
| title_full | Data mining approach to herbs classification |
| title_fullStr | Data mining approach to herbs classification |
| title_full_unstemmed | Data mining approach to herbs classification |
| title_short | Data mining approach to herbs classification |
| title_sort | data mining approach to herbs classification |
| topic | QA76.75-76.765 Computer software |
| url | http://eprints.uthm.edu.my/5876/ http://eprints.uthm.edu.my/5876/ http://eprints.uthm.edu.my/5876/1/AJ%202018%20%28634%29.pdf |