Enhancing Height Predictions of Brazilian Pine for Mixed, Uneven-Aged Forests Using Artificial Neural Networks

Enhancing Height Predictions of Brazilian Pine for Mixed, Uneven-Aged Forests Using Artificial Neural Networks

Artificial intelligence (AI) seeks to simulate the human ability to reason, make decisions, and solve problems. Several AI methodologies have been introduced in forestry to reduce costs and increase accuracy in estimates. We evaluate the performance of Artificial Neural Networks (ANN) in estimating...

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Bibliographic Details
Main Authors: Emanuel Arnoni Costa, André Felipe Hess, César Augusto Guimarães Finger, Cristine Tagliapietra Schons, Danieli Regina Klein, Lorena Oliveira Barbosa, Geedre Adriano Borsoi, Veraldo Liesenberg, Polyanna da Conceição Bispo
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Forests
Subjects:
araucaria
Atlantic rain forest
total height
forest inventory
artificial intelligence
Online Access:https://www.mdpi.com/1999-4907/13/8/1284

Internet

https://www.mdpi.com/1999-4907/13/8/1284

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