Yield prediction for rubber“Hevea Brasiliensis” in Malaysia

A review

K. Vasuntha, Marlinda Abdul Malek, A. Mustapha, H. Idris

Research output: Contribution to journalReview article

Abstract

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.

Original languageEnglish
Pages (from-to)23133-23144
Number of pages12
JournalInternational Journal of Applied Engineering Research
Volume9
Issue number23
Publication statusPublished - 01 Jan 2014

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Rubber
Neural networks
Productivity

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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Yield prediction for rubber“Hevea Brasiliensis” in Malaysia : A review. / Vasuntha, K.; Abdul Malek, Marlinda; Mustapha, A.; Idris, H.

In: International Journal of Applied Engineering Research, Vol. 9, No. 23, 01.01.2014, p. 23133-23144.

Research output: Contribution to journalReview article

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