Artificial neural networks in modeling of environmental time series for yerba-mate growth dynamics

Fabio Takeshi Matsunaga Universidade Estadual de Londrina, Paraná, UEL
Miroslava Rakocevic Instituto Agronómico do Paraná - IAPAR
Jacques Duílio Brancher Universidade Estadual de Londrina, Paraná

Keywords: backpropagation algorithm, multilayer perceptron, shoot elongation, temperature

Abstract

The artificial neural networks (ANN) are a solution to model the nonlinear systems. The monthly mean values of environmental and morphological data were used to build time series related to yerba-mate growth. Time series and data relative to rhythmic growth were used for ANN training. The final results of this FSPM are yerba-mate mock-ups, related to two particular environmental conditions.

Published

2013-06-04

Issue

FSPM2013

Section

4A Structural development of plants and light environment

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