Neural network and state-space models for studying relationships among soil properties Redes neurais e modelos de espaço de estados para o estudo da relação entre propriedades do solo

Neural network and state-space models for studying relationships among soil properties Redes neurais e modelos de espaço de estados para o estudo da relação entre propriedades do solo

The study of soil property relationships is of great importance in agronomy aiming for a rational management of environmental resources and an improvement of agricultural productivity. Studies of this kind are traditionally performed using static regression models, which do not take into account the...

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Bibliographic Details
Main Authors: Luís Carlos Timm, Daniel Takata Gomes, Emanuel Pimentel Barbosa, Klaus Reichardt, Manoel Dornelas de Souza, José Flávio Dynia
Format: Article
Language:English
Published: Universidade de São Paulo 2006-08-01
Series:Scientia Agricola
Subjects:
atributos do solo
modelos de predição
transeção espacial
variáveis latentes
soil attributes
prediction models
spatial transect
latent variables
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162006000400010

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162006000400010

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