Image credit: Unsplash

Multilayer Percepton for Recursive Diameter Prediction of Eucalyptus Clones

Image credit: Unsplash

Multilayer Percepton for Recursive Diameter Prediction of Eucalyptus Clones

Abstract

A major challenge in the forest area is the prediction of the volume of forest stands quickly and accurately without the need to fell trees. The purpose of this work is a model that uses artificial neural network Multilayer Perceptron (MLP) for predicting tree diameters. This model requires three measurements of diameter of the base of the tree and recursively provides other measures of diameters. The performance of the proposed model was satisfactory when compared with diameters obtained from the cubed.

Publication
In Proceedings of 10th Brazilian Symposium on Intelligent Automation (SBAI)
Date

Text in Portuguese, Original Title: Multi-Layer perceptron na predicao recursiva de Diametros de clone de eucalipto.