The fast and accurate identification of forest species is fundamental to support their
conservation, sustainable management, and, more specifically, the fight against illegal …

Information about tree species plays a pivotal role in sustainable forest management. Light
detection and ranging (LiDAR) technology has demonstrated its potential to obtain species …

Identification of tree species plays a key role in forestry related tasks like forest conservation,
disease diagnosis and plant production. There had been a debate regarding the part of the …

The automatic classification of tree species using terrestrial laser scanning (TLS) point
clouds is key in forestry research. This study aims to develop a robust framework for tree …

In this work, we present a discriminative and effective local texture descriptor for bark image
classification. The proposed descriptor is based on three factors, namely, pixel, magnitude …

Accurately identifying the distribution of vineyard cultivation is of great significance for the
development of the grape industry and the optimization of planting structures. Traditional …

The paper presents an original method for the evaluation of bark structure characteristics of
tree trunks on the basis of terrestrial laser scanning data. Measurements testing the method …

This paper addresses classification of 3D point cloud data from natural environments based
on voxels. The proposed model uses multi-layer perceptrons to classify voxels based on a …

The accurate acquisition of planting area and spatial distribution information is essential to
monitor the growth and estimate the production of fruit trees (orchard). Remote sensing has …

Navigability assessment is useful for planning obstacles free trajectories in autonomous
navigation tasks in 3D environments. Based on Geometric-Featured Voxel (GFV) maps …