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Recursive diameter prediction and volume calculation of eucalyptus trees using Multilayer Perceptron Networks |
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| Authors: | Fabrízzio Alphonsus AMN Soares Edna Lúcia FlôresChristian Dias Cabacinha Gilberto Arantes CarrijoAntônio Cláudio Paschoarelli Veiga |
| Institution: | a Instituto de Informática Universidade Federal de Goiás, Brazil b Faculdade de Engenharia Elétrica, Universidade Federal de Uberlândia, Brazil c Instituto de Ciências Agrárias, Universidade Federal de Minas Gerais, Brazil |
| Abstract: | A major challenge in forest management is the ability to quickly and accurately predict bole volume of standing trees. This study presents a new model that uses Multilayer Perceptron (MLP) artificial neural networks for predicting tree diameters values. The model requires three diameter measures at the base of the tree, and recursively predicts other diameter measures. The predicted diameters allow for calculating tree volume using the Smalian method. The performance of the proposed model was satisfactory when compared with data obtained from tree scaling and volume equations. |
| Keywords: | Estimating diameter Forest inventory Multilayer Perceptron Recursive prediction Volumetric equations |
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