人工智能在桉树无性系生长应力预测中的应用

IF 1.2 4区农林科学 Q3 MATERIALS SCIENCE, PAPER & WOOD

Maderas-ciencia Y Tecnologia Pub Date : 2023-04-01 DOI:10.4067/s0718-221x2023000100430

T. Monteiro, Carlos Alberto Araújo, Jean Henrique dos Santos, Thiago Cardoso Silva, T. D. Nascimento, J. Conti, J. L. Matos, R. J. Klitzke, M. Pereira da Rocha

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引用次数: 0

摘要

桉树人工林有助于木材产量最大化，但纵向生长应变等问题会对产品质量产生负面影响。了解树枝学变量和木材性能可以帮助预测纵向生长应变，主要是借助人工智能。因此，本研究的目的是评估人工神经网络在桉树树形变量、树间距和木材密度的基础上预测桉树纵向生长应变的应用。在3个间距种植的4个桉树无性系中测定了树的纵向生长应变。测量了每棵树的直径和高度。测定木材的基本密度。人工神经

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Artificial intelligence to growth stresses predicting in Eucalyptus clones using dendrometric variables and wood density

Eucalyptus planted forests contribute to maximizing lumber production but problems such as longitudinal growth strain can negatively influence the quality of the products. Knowing dendrometric variables and wood properties can help in the prediction of longitudinal growth strain, mainly with the help of artificial intelli - gence. Thus, the aim of this research was to evaluate the use of artificial neural networks to predict longitudinal growth strain in Eucalyptus trees based on dendrometric variables, spacing between trees and wood density. The longitudinal growth strain was measured in trees of four Eucalyptus clones planted in three spacings. The diameter and height of each tree were measured. The basic wood density was determined. Artificial neural

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来源期刊

Maderas-ciencia Y Tecnologia 工程技术-材料科学：纸与木材

CiteScore

2.60

自引率

13.30%

发文量

审稿时长

>12 weeks

期刊介绍： Maderas-Cienc Tecnol publishes inedits and original research articles in Spanish and English. The contributions for their publication should be unpublished and the journal is reserved all the rights of reproduction of the content of the same ones. All the articles are subjected to evaluation to the Publishing Committee or external consultants. At least two reviewers under double blind system. Previous acceptance of the Publishing Committee, summaries of thesis of Magíster and Doctorate are also published, technical opinions, revision of books and reports of congresses, related with the Science and the Technology of the Wood. The journal have not articles processing and submission charges.