Wood density estimation using dendrometric and edaphoclimatic data in artificial neural networks

Wood density estimation using dendrometric and edaphoclimatic data in artificial neural networks

Forestry measurement is aimed at volumetric production of wood; however, for the pulp processing industry, the main interest is productivity in wood biomass and, to know this variable, it is necessary to determine the basic wood density (BWD) beforehand. Artificial neural networks (ANN) have been u...

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Bibliographic Details
Main Authors: Mauro Antônio Pereira Werneburg, Mayra Luiza Marques da Silva, Helio Garcia Leite, Antonilmar Araújo Lopes da Silva, José Marinaldo Gleriani, Jeferson Pereira Martins Silva, Tais Rizzo Moreira, Sofia Maria Gonçalves Rocha, Nívea Maria Mafra Rodrigues
Format: Article
Language:English
Published: Universidade do Estado de Santa Catarina 2023-12-01
Series:Revista de Ciências Agroveterinárias
Subjects:
Artificial intelligence
Modeling
Wood quality
Online Access:https://periodicos.udesc.br/index.php/agroveterinaria/article/view/23732

Internet

https://periodicos.udesc.br/index.php/agroveterinaria/article/view/23732

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