Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/9486
Title: Yield prediction for rubber“Hevea Brasiliensis” in Malaysia: A review
Authors: Vasuntha, K. 
Malek, M.A. 
Mustapha, A. 
Idris, H. 
Issue Date: 2014
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. © Research India Publications.
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/9486
Appears in Collections:COE Scholarly Publication

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