Eucalyptus Volume Estimation for Eucalyptus Clones Trees Using Artificial Neural Networks

摘要: The forest inventory is an instrument of great importance for the healthy management resources. Although It can be used in many applications, example, to quantify trees or identify species a settlement, volume one most critical elements exploration specific area. However, it very challenging find methods that accurately calculate without raising costs. Therefore, this study presents approach with artificial neural networks prediction diameters and calculation eucalyptus clones. We proposed models depend on not total height tree, which measure expensive obtain field. A result shows our are up-and-coming traditional techniques, besides reduce features estimation support automation.