Estimating 1-MCP application for Kampuchea guava with data mining technology
The application of 1-methylcyclopropene (1-MCP) influences the fruit qualities and may affect fruit sales since customers have different preferences on fruit qualities. However, estimating 1-MCP application requires the lab procedure that consumes time and cost. In this preliminary study, data minin...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Society for Horticultural Science (ISHS)
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72610/ http://psasir.upm.edu.my/id/eprint/72610/1/Estimating%201.pdf |
| _version_ | 1848857160466825216 |
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| author | Ding, Phebe Khor, Kor Chin |
| author_facet | Ding, Phebe Khor, Kor Chin |
| author_sort | Ding, Phebe |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The application of 1-methylcyclopropene (1-MCP) influences the fruit qualities and may affect fruit sales since customers have different preferences on fruit qualities. However, estimating 1-MCP application requires the lab procedure that consumes time and cost. In this preliminary study, data mining (DM) technology was utilized to achieve fast estimation of 1-MCP application based on different qualities of 'Kampuchea' Guava. Five DM algorithms were involved, namely, (i) C4.5, (ii) Library for Support Vector Machine (LibSVM), (iii) Multilayer Perceptron (MLP), (iv) Naive Bayes Classifier (NBC), and (v) Random Forest (RF) to build classification models that understand the behaviour of the past laboratory data. The classification models can then be used for estimating the 1-MCP application fast whenever there are new data available. The result showed that fast estimation can be achieved effectively using LibSVMas which outperformed the others by attaining the lowest errors in four statistical measures. |
| first_indexed | 2025-11-15T11:53:08Z |
| format | Article |
| id | upm-72610 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:53:08Z |
| publishDate | 2018 |
| publisher | International Society for Horticultural Science (ISHS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-726102020-11-11T11:44:30Z http://psasir.upm.edu.my/id/eprint/72610/ Estimating 1-MCP application for Kampuchea guava with data mining technology Ding, Phebe Khor, Kor Chin The application of 1-methylcyclopropene (1-MCP) influences the fruit qualities and may affect fruit sales since customers have different preferences on fruit qualities. However, estimating 1-MCP application requires the lab procedure that consumes time and cost. In this preliminary study, data mining (DM) technology was utilized to achieve fast estimation of 1-MCP application based on different qualities of 'Kampuchea' Guava. Five DM algorithms were involved, namely, (i) C4.5, (ii) Library for Support Vector Machine (LibSVM), (iii) Multilayer Perceptron (MLP), (iv) Naive Bayes Classifier (NBC), and (v) Random Forest (RF) to build classification models that understand the behaviour of the past laboratory data. The classification models can then be used for estimating the 1-MCP application fast whenever there are new data available. The result showed that fast estimation can be achieved effectively using LibSVMas which outperformed the others by attaining the lowest errors in four statistical measures. International Society for Horticultural Science (ISHS) 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72610/1/Estimating%201.pdf Ding, Phebe and Khor, Kor Chin (2018) Estimating 1-MCP application for Kampuchea guava with data mining technology. Acta Horticulturae, 1213. art. no. 1213_33. 241 - 244. ISSN 0567-7572 https://www.ishs.org/ishs-article/1213_33 10.17660/ActaHortic.2018.1213.33 |
| spellingShingle | Ding, Phebe Khor, Kor Chin Estimating 1-MCP application for Kampuchea guava with data mining technology |
| title | Estimating 1-MCP application for Kampuchea guava with data mining technology |
| title_full | Estimating 1-MCP application for Kampuchea guava with data mining technology |
| title_fullStr | Estimating 1-MCP application for Kampuchea guava with data mining technology |
| title_full_unstemmed | Estimating 1-MCP application for Kampuchea guava with data mining technology |
| title_short | Estimating 1-MCP application for Kampuchea guava with data mining technology |
| title_sort | estimating 1-mcp application for kampuchea guava with data mining technology |
| url | http://psasir.upm.edu.my/id/eprint/72610/ http://psasir.upm.edu.my/id/eprint/72610/ http://psasir.upm.edu.my/id/eprint/72610/ http://psasir.upm.edu.my/id/eprint/72610/1/Estimating%201.pdf |