Related references
Note: Only part of the references are listed.Soil organic carbon stock assessment in forest ecosystems through pedogenic horizons and fixed depth layers sampling: What's the best one?
Mauro De Feudis et al.
LAND DEGRADATION & DEVELOPMENT (2022)
Prediction of various soil properties for a national spatial dataset of Scottish soils based on four different chemometric approaches: A comparison of near infrared and mid-infrared spectroscopy
R. K. Haghi et al.
GEODERMA (2021)
Predicting the dry bulk density of soils across Denmark: Comparison of single-parameter, multi-parameter, and vis-NIR based models
Sheela Katuwal et al.
GEODERMA (2020)
Detection of Outliers in Projection-Based Modeling
Oxana Ye Rodionova et al.
ANALYTICAL CHEMISTRY (2020)
Mid-infrared spectroscopy for prediction of soil health indicators in the United States
Jonathan Sanderman et al.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2020)
Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy
Leonardo Deiss et al.
GEODERMA (2020)
A description and evaluation of the physical and financial characteristics of dairy farms operating on soil types classified as poorly drained and associated with high rainfall
Liam Hanrahan et al.
GRASS AND FORAGE SCIENCE (2019)
Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library
Shree R. S. Dangal et al.
SOIL SYSTEMS (2019)
Building a pedotransfer function for soil bulk density on regional dataset and testing its validity over a larger area
Songchao Chen et al.
GEODERMA (2018)
Using machine learning to predict soil bulk density on the basis of visual parameters: Tools for in-field and post-field evaluation
Giulia Bondi et al.
GEODERMA (2018)
Visible and near infrared spectroscopy coupled to random forest to quantify some soil quality parameters
Felipe Bachion de Santana et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2018)
Soil Bulk Density Estimation Methods: A Review
Ahmed Abed Gatea Al-Shammary et al.
PEDOSPHERE (2018)
Evaluation of pedotransfer functions for predicting soil bulk density for U.S. soils
Ahmed M. Abdelbaki
AIN SHAMS ENGINEERING JOURNAL (2018)
Soil compaction effects on soil health and crop productivity: an overview
Adnan Noor Shah et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2017)
Estimation accuracies of near infrared spectroscopy for general soil properties and enzyme activities for two forest sites along three transects
Bernard Ludwig et al.
GEODERMA (2017)
Methods of evaluating soil bulk density: Impact on estimating large scale soil organic carbon storage
Li Xu et al.
CATENA (2016)
A Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra
Asa Gholizadeh et al.
REMOTE SENSING (2016)
Pedotransfer functions for Irish soils - estimation of bulk density (rho b) per horizon type
B. Reidy et al.
SOIL (2016)
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
Jose M. Soriano-Disla et al.
APPLIED SPECTROSCOPY REVIEWS (2014)
Predicting soil bulk density for incomplete databases
Cleiton H. Sequeira et al.
GEODERMA (2014)
A pedotransfer function for estimating bulk density of forest soil in Japan affected by volcanic ash
Kazuki Nanko et al.
GEODERMA (2014)
A review of variable selection methods in Partial Least Squares Regression
Tahir Mehmood et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2012)
Predicting soil properties in the tropics
Budiman Minasny et al.
EARTH-SCIENCE REVIEWS (2011)
Soil bulk density pedotransfer functions of the humus horizon in arable soils
Elsa Suuster et al.
GEODERMA (2011)
Partial least squares regression and projection on latent structure regression (PLS Regression)
Herve Abdi
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2010)
Near infrared spectroscopy for soil bulk density assessment
C. S. Moreira et al.
EUROPEAN JOURNAL OF SOIL SCIENCE (2009)
Optimizing Pedotransfer Functions for Estimating Soil Bulk Density Using Boosted Regression Trees
M. P. Martin et al.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2009)
Assessment of soil physical degradation in Eastern Kenya by use of a sequential soil testing protocol
C. T. Omuto
AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2008)
Using a legacy soil sample to develop a mid-IR spectral library
R. A. Viscarra Rossel et al.
AUSTRALIAN JOURNAL OF SOIL RESEARCH (2008)
Using soil knowledge for the evaluation of mid-infrared diffuse reflectance spectroscopy for predicting soil physical and mechanical properties
B. Minasny et al.
EUROPEAN JOURNAL OF SOIL SCIENCE (2008)
Building and testing conceptual and empirical models for predicting soil bulk density
G. Tranter et al.
SOIL USE AND MANAGEMENT (2007)
Predictive quality of pedotransfer functions for estimating bulk density of forest soils
B De Vos et al.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2005)
A tutorial on support vector regression
AJ Smola et al.
STATISTICS AND COMPUTING (2004)
Bulk density as a soil quality indicator during conversion to no-tillage
SD Logsdon et al.
SOIL & TILLAGE RESEARCH (2004)
From pedotransfer functions to soil inference systems
AB McBratney et al.
GEODERMA (2002)
Share Paper
