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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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Main Authors: Khidzir A.B.M., Malek M.A., Ismail A.R., Juneng L., Chun T.S.
Other Authors: 56532488700
Format: Article
Published: Asian Research Publishing Network 2023
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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
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
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).
author2 56532488700
author_facet 56532488700
Khidzir A.B.M.
Malek M.A.
Ismail A.R.
Juneng L.
Chun T.S.
format Article
author Khidzir A.B.M.
Malek M.A.
Ismail A.R.
Juneng L.
Chun T.S.
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
author_sort Khidzir A.B.M.
title Utilization of artificial immune system in prediction of paddy production
title_short 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_sort utilization of artificial immune system in prediction of paddy production
publisher Asian Research Publishing Network
publishDate 2023
_version_ 1806426686284103680
score 13.211869

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