Utilization of artificial immune system in prediction of paddy production
This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algorithms (CSA) to analyze the pattern recognition capability of the paddy trend, and to predict the paddy production based on climate change effects. Climate factors and paddy production are used as inp...
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Asian Research Publishing Network
2023
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| _version_ | 1833410914133475328 |
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| author | Khidzir A.B.M. Malek M.A. Ismail A.R. Juneng L. Chun T.S. |
| author2 | 56532488700 |
| author_facet | 56532488700 Khidzir A.B.M. Malek M.A. Ismail A.R. Juneng L. Chun T.S. |
| author_sort | Khidzir A.B.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algorithms (CSA) to analyze the pattern recognition capability of the paddy trend, and to predict the paddy production based on climate change effects. Climate factors and paddy production are used as input parameters. High percentage of accuracy ranges from 90%-92% is obtained throughout the training, validation and testing steps of the model. The results of the study were tested using the Root Mean Square Error (RMSE), Mean Average Percentage Error (MAPE) and coefficient of determination (R2). Based on the results of this study, it can be concluded that the CSA is a reliable tool to be used as pattern recognition and prediction of paddy production. � 2006-2015 Asian Research Publishing Network (ARPN). |
| format | Article |
| id | my.uniten.dspace-22568 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Asian Research Publishing Network |
| record_format | dspace |
| spelling | my.uniten.dspace-225682023-05-29T14:02:07Z Utilization of artificial immune system in prediction of paddy production Khidzir A.B.M. Malek M.A. Ismail A.R. Juneng L. Chun T.S. 56532488700 55636320055 36995749000 23976053900 56338030500 This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algorithms (CSA) to analyze the pattern recognition capability of the paddy trend, and to predict the paddy production based on climate change effects. Climate factors and paddy production are used as input parameters. High percentage of accuracy ranges from 90%-92% is obtained throughout the training, validation and testing steps of the model. The results of the study were tested using the Root Mean Square Error (RMSE), Mean Average Percentage Error (MAPE) and coefficient of determination (R2). Based on the results of this study, it can be concluded that the CSA is a reliable tool to be used as pattern recognition and prediction of paddy production. � 2006-2015 Asian Research Publishing Network (ARPN). Final 2023-05-29T06:02:06Z 2023-05-29T06:02:06Z 2015 Article 2-s2.0-84923838698 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923838698&partnerID=40&md5=6966568be8ed176bb52c1c1d32491ae0 https://irepository.uniten.edu.my/handle/123456789/22568 10 3 1462 1467 Asian Research Publishing Network Scopus |
| spellingShingle | Khidzir A.B.M. Malek M.A. Ismail A.R. Juneng L. Chun T.S. Utilization of artificial immune system in prediction of paddy production |
| title | Utilization of artificial immune system in prediction of paddy production |
| title_full | Utilization of artificial immune system in prediction of paddy production |
| title_fullStr | Utilization of artificial immune system in prediction of paddy production |
| title_full_unstemmed | Utilization of artificial immune system in prediction of paddy production |
| title_short | Utilization of artificial immune system in prediction of paddy production |
| title_sort | utilization of artificial immune system in prediction of paddy production |
| url_provider | http://dspace.uniten.edu.my/ |