ESTIMATION OF EUCALYPTUS TREE HEIGHT IN CLONAL AND PROGENY TESTS USING ARTIFICIAL NEURAL NETWORKS

ESTIMATION OF EUCALYPTUS TREE HEIGHT IN CLONAL AND PROGENY TESTS USING ARTIFICIAL NEURAL NETWORKS

ABSTRACT The goal of this study was to test the applicability of artificial neural networks for estimating tree heights in clonal tests and progenies. We used data from 8,329 clonal tests collected for six age groups, divided into six blocks and five repetitions. For the progeny tests, we used 36,79...

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Bibliographic Details
Main Authors: Ana Carolina de Albuquerque Santos, Filipe Monteiro Almeida, Ramon Barreto Souza, Raul Chaves, Haroldo Nogueira de Paiva, Daniel Henrique Breda Binot, Helio Garcia Leite, Aline Araújo Farias
Format: Article
Language:English
Published: Sociedade de Investigações Florestais 2018-06-01
Series:Revista Árvore
Subjects:
Custo
Predição
Experimento
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000600205&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000600205&lng=en&tlng=en

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