ARTIFICIAL NEURAL NETWORKS APPLIED IN FOREST BIOMETRICS AND MODELING: STATE OF THE ART (JANUARY/2007 TO JULY/2018)

COMPARISON OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM, ARTIFICIAL NEURAL NETWORKS AND NON-LINEAR REGRESSION FOR BARK VOLUME ESTIMATION IN BRUTIAN PINE (PINUS BRUTIA TEN.)

(2018) Y. ÇATAL   APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH

Prognoses of diameter and height of trees of eucalyptus using artificial intelligence

(2018) Giovanni Correia Vieira et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Volume estimation of Cryptomeria japonica logs in southern Brazil using artificial intelligence models

(2017) Carlos R Sanquetta et al.   Southern Forests

Prognosis on the diameter of individual trees on the eastern region of the amazon using artificial neural networks

(2016) Leonardo Pequeno Reis et al.   FOREST ECOLOGY AND MANAGEMENT

Artificial Intelligence Procedures for Tree Taper Estimation within a Complex Vegetation Mosaic in Brazil

(2016) Matheus Henrique Nunes et al.   PLoS One

Estimation of Weibull function parameters for modelling tree diameter distribution using least squares and artificial neural networks methods

(2015) Maria J. Diamantopoulou et al.   BIOSYSTEMS ENGINEERING

Prediction of Forestry Planned End Products Using Dirichlet Regression and Neural Networks

(2015) Ciarán Hickey et al.   FOREST SCIENCE

Application of neural networks to predict volume in eucalyptus

(2015) Leonardo Lopes Bhering et al.   Crop Breeding and Applied Biotechnology

Application of Neural Networks for the retrieval of forest woody volume from SAR multifrequency data at L and C bands

(2015) Emanuele Santi et al.   European Journal of Remote Sensing

A Novel Modelling Approach for Predicting Forest Growth and Yield under Climate Change

(2015) M. Irfan Ashraf et al.   PLoS One

Use of artificial neural networks and geographic objects for classifying remote sensing imagery

(2014) Pedro Resende Silva et al.   Cerne

Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models

(2013) Ramazan Özçelik et al.   FOREST ECOLOGY AND MANAGEMENT

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

(2012) Fabrízzio Alphonsus A.M.N. Soares et al.   APPLIED SOFT COMPUTING

Estimating the road edge effect on adjacentEucalyptus grandisforests in KwaZulu-Natal, South Africa, using texture measures and an artificial neural network

(2012) Romano Lottering et al.   Journal of Spatial Science

Recursive diameter prediction for calculating merchantable volume of eucalyptus clones using Multilayer Perceptron

(2012) Fabrízzio Alphonsus A. M. N. Soares et al.   NEURAL COMPUTING & APPLICATIONS

Recursive diameter prediction and volume calculation of eucalyptus trees using Multilayer Perceptron Networks

(2011) Fabrízzio Alphonsus A.M.N. Soares et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Use of BDST and an ANN model for prediction of dye adsorption efficiency of Eucalyptus camaldulensis barks in fixed-bed system

(2010) Behzat Balci et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined with Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping

(2010) George P. Petropoulos et al.   SENSORS

Modelling total volume of dominant pine trees in reforestations via multivariate analysis and artificial neural network models

(2009) Maria J. Diamantopoulou et al.   BIOSYSTEMS ENGINEERING

Estimating tree bole volume using artificial neural network models for four species in Turkey

(2009) Ramazan Özçelik et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

ARTIFICIAL NEURAL NETWORK MODELING FOR REFORESTATION DESIGN THROUGH THE DOMINANT TREES BOLE-VOLUME ESTIMATION

(2009) MARIA J. DIAMANTOPOULOU et al.   NATURAL RESOURCE MODELING

A neural network approach to simple prediction of soil nitrification potential: A case study in Japanese temperate forests

(2008) Eriko Ito et al.   ECOLOGICAL MODELLING