Original paper

Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network

Volume: 12, Issue: 1, Pages: 738 - 749
Published: Jan 1, 2018
Abstract
Management strategies for sustainable sugarcane production need to deal with the increasing complexity and variability of the whole sugar system. Moreover, they need to accommodate the multiple goals of different industry sectors and the wider community. Traditional disciplinary approaches are unable to provide integrated management solutions, and an approach based on whole systems analysis is essential to bring about beneficial change to...
Paper Details
Title
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network
Published Date
Jan 1, 2018
Volume
12
Issue
1
Pages
738 - 749
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