Image credit: Unsplash

Recursive Diameter Prediction using Neural Networks to calculate comercial volume of Eucalyptus Clones

Image credit: Unsplash

Recursive Diameter Prediction using Neural Networks to calculate comercial volume of Eucalyptus Clones

Abstract

This work made predictions of tree diameters of eucalyptus species with artificial neural networks Multiple Layers Perceptron. Recursively estimates are these diameters up to the value of 4 cm using only three steps diameter at the base and without the need knowledge of the total height of the tree. The training was conducted with only 10% of the total planted site. The performance of the proposed model was satisfactory when compared with the diameters predicted actual diameters.

Publication
In Proceedings of 20th Brazilian Congress on Automatica (CBA)
Date

Text in Portuguese, Original Title: Predicao Recursiva De Diametros Utilizando Redes Neurais Artificiais Para calculo De Volumes Comerciais De Clones De Eucalipto.