Modelling tree height-diameter relationships in complex tropical rain forest ecosystems
remains a challenge because of characteristics of multi-species, multi-layers, and …

Abstract Background Deep Learning Algorithms (DLA) have become prominent as an
application of Artificial Intelligence (AI) Techniques since 2010. This paper introduces the …

Aboveground biomass (AGB) and carbon uptake of a forest are key ecological indicators for
various technical and scientific applications and sustainable forest management. Deep …

Aim of Study: As an innovative prediction technique, Artificial Intelligence technique based
on a Deep Learning Algorithm (DLA) with various numbers of neurons and hidden layer …

The height and diameter of trees are important variables in estimating the aboveground
biomass of trees. Tree height measurements are often difficult in tropical forests hence tree …

The diameter distribution models of a natural stand in Onigambari forest reserve, South West
Nigeria, were modeled with Beta distribution function. The data were obtained from 1.45 ha …

Identifying important factors (eg, features and prediction models) for forest aboveground
biomass (AGB) estimation can provide a vital reference for accurate AGB estimation. This …

Height-diameter models for predicting tree height are essential for routine forest inventory.
These models can be developed using fixed-or mixed-effects approach. Few studies have …

The diameters and heights of trees are two of the most important components in a forest
inventory. In some circumstances, the heights of trees need to be estimated due to the time …

Accurate estimation of the volume and above-ground biomass of exploitable trees by the
practice of selective logging is essential for the elaboration of a sustainable management …