Fuzzy and neuro-fuzzy estimates of the total height of eucalyptus trees

Authors:
Ricardo M. de A. Silva;Filipe G. Brandão;Gleimar B. Baleeiro;Felipe L. Valentim;Adriano R. de Mendonça;Danilo M. Pires
Affiliations:
Universidade Federal de Lavras, Lavras, Brazil;Universidade Federal de Lavras, Lavras, Brazil;Universidade Federal de Lavras, Lavras, Brazil;Universidade Federal de Lavras, Lavras, Brazil;Universidade Federal de Lavras, Lavras, Brazil;Universidade Federal de Lavras, Lavras, Brazil
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

Citing 2
Cited 1

An introduction to fuzzy control

An introduction to fuzzy control
Industrial Applications of Fuzzy Control

Industrial Applications of Fuzzy Control

Recursive diameter prediction for calculating merchantable volume of Eucalyptus clones without previous knowledge of total tree height using artificial neural networks

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Because of its many uses, including for paper, cellulose, and energy production, the Eucalyptus is an economically important tree. The estimate of eucalyptus total height is useful for forest handling and predicting production. The objective of this work is to study the relation between a eucalyptus tree's diameter at breast height (DBH) and age to its total height. Based on this data, we present decision systems developed using fuzzy logic and neuro-fuzzy systems. Both proposed models are compared with classical mathematical models; the neuro-fuzzy system has the highest accuracy and precision.