Consulta: subjectFacets:"Dominant height"
Registros recuperados: 2
Data/hora: 11/06/2024 16:11:03

Artificial neural networks, quantile regression, and linear regression for site index prediction in the presence of outliers
Provedor de dados: 86
Autores: Araújo Júnior,Carlos Alberto; Souza,Pábulo Diogo de; Assis,Adriana Leandra de; Cabacinha,Christian Dias; Leite,Helio Garcia; Soares,Carlos Pedro Boechat; Silva,Antonilmar Araújo Lopes da; Castro,Renato Vinícius Oliveira.
Abstract: The objective of this work was to compare methods of obtaining the site index for eucalyptus (Eucalyptus spp.) stands, as well as to evaluate their impact on the stability of this index in databases with and without outliers. Three methods were tested, using linear regression, quantile regression, and artificial neural network. Twenty-two permanent plots from a continuous forest inventory were used, measured in trees with ages from 23 to 83 months. The outliers were identified using a boxplot graphic. The artificial neural network showed better results than the linear and quantile regressions, both for dominant height and site index estimates. The stability obtained for the site index classification by the artificial neural network was also...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Eucalyptus; Artificial intelligence; Dominant height; Forest inventory; Forest modelling; Non-sampling errors.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103200

CLASSIFICATION OF PRODUCTIVE CAPACITY OF Pinus taeda L. PLANTATIONS IN THE WESTERN REGION OF THE STATE OF SANTA CATARINA, BRAZIL
Provedor de dados: 22
Autores: Santos, Ricardo Murilo Malheiros dos; Arce, Julio Eduardo; Dias, Andrea Nogueira; Martarello, Vlademir; Roveda, Marcelo.
ABSTRACT - This study aimed to test different statistical models to adjust site index curves and apply models of identity tests in comparing the mean curves of dominant height in Pinus taeda to two regions of the West of the State of Santa Catarina. Data dominant height were obtained from permanent plots,with 600 m² size, distributed randomly. Selecting the best adjusted statistical model was made through the following adjustment and accuracy of statistics: determination coefficient (R²adj), standard error of estimate (Syx) in absolute and relative terms and graphic distribution of waste. The test Regazzi (2003) was applied to analyze the possibility of using a single model of the dominant height for the two regions. The Prodan model was chosen for...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Dominant height; Site index; Identity test.
Ano: 2017
URL: http://e-revista.unioeste.br/index.php/scientiaagraria/article/view/14351