Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review

This study focuses on the efforts to promote the productivity of rubber yield under unpredictable climate behavior currently experience in Malaysia. Artificial Neural Network (ANN) is the method chosen in predicting natural rubber production in relation to climate variables over the past years. One...

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Main Authors: Vasuntha K., Malek M.A., Mustapha A., Idris H.
Other Authors: 56461404100
Format: Review
Published: Research India Publications 2023
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author Vasuntha K.
Malek M.A.
Mustapha A.
Idris H.
author2 56461404100
author_facet 56461404100
Vasuntha K.
Malek M.A.
Mustapha A.
Idris H.
author_sort Vasuntha K.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description This study focuses on the efforts to promote the productivity of rubber yield under unpredictable climate behavior currently experience in Malaysia. Artificial Neural Network (ANN) is the method chosen in predicting natural rubber production in relation to climate variables over the past years. One of the explicit criteria of ANN is the ability of the network to deal with non linear data and its capability of learning from historical data. © Research India Publications.
format Review
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institution Universiti Tenaga Nasional
publishDate 2023
publisher Research India Publications
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spelling my.uniten.dspace-220142023-05-16T10:46:40Z Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review Vasuntha K. Malek M.A. Mustapha A. Idris H. 56461404100 55636320055 57200530694 55991687900 This study focuses on the efforts to promote the productivity of rubber yield under unpredictable climate behavior currently experience in Malaysia. Artificial Neural Network (ANN) is the method chosen in predicting natural rubber production in relation to climate variables over the past years. One of the explicit criteria of ANN is the ability of the network to deal with non linear data and its capability of learning from historical data. © Research India Publications. Final 2023-05-16T02:46:40Z 2023-05-16T02:46:40Z 2014 Review 2-s2.0-84919784635 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919784635&partnerID=40&md5=ba95ede5cc1d2a774bffc639cd72ef7e https://irepository.uniten.edu.my/handle/123456789/22014 9 23 23133 23144 Research India Publications Scopus
spellingShingle Vasuntha K.
Malek M.A.
Mustapha A.
Idris H.
Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review
title Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review
title_full Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review
title_fullStr Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review
title_full_unstemmed Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review
title_short Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review
title_sort yield prediction for rubber“hevea brasiliensis” in malaysia: a review
url_provider http://dspace.uniten.edu.my/