4.6 Article

Prediction of soil nutrient content via pXRF spectrometry and its spatial variation in a highly variable tropical area

Related references

Note: Only part of the references are listed.
Article Geosciences, Multidisciplinary

Characterization of field-scale soil variation using a stepwise multi-sensor fusion approach and a cost-benefit analysis

Sumanta Chatterjee et al.

Summary: The study found that pXRF spectra with PLSR models can effectively predict certain soil physicochemical properties at the pedon scale, while a combination of EMI, Sentinel-2, and DEM data shows promise in mapping key soil parameters like sand, silt contents, and TN.

CATENA (2021)

Article Soil Science

Tropical soil pH and sorption complex prediction via portable X-ray fluorescence spectrometry

Anita Fernanda dos Santos Teixeira et al.

GEODERMA (2020)

Article Soil Science

Proximal sensing applied to soil texture prediction and mapping in Brazil

Renata Andrade et al.

GEODERMA REGIONAL (2020)

Article Geosciences, Multidisciplinary

Rapid soil fertility prediction using X-ray fluorescence data and machine learning algorithms

Lucas Benedet et al.

CATENA (2020)

Article Soil Science

Field Proximal Soil Sensor Fusion for Improving High-Resolution Soil Property Maps

Gustavo M. Vasques et al.

SOIL SYSTEMS (2020)

Article Agriculture, Multidisciplinary

Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in Inceptisols under different land uses

Anita Fernanda dos Santos Teixeira et al.

CIENCIA E AGROTECNOLOGIA (2018)

Article Soil Science

Soil characterization across catenas via advanced proximal sensors

Bogdan M. Duda et al.

GEODERMA (2017)

Article Agriculture, Multidisciplinary

Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)

Sergio Henrique Godinho Silva et al.

CIENCIA E AGROTECNOLOGIA (2017)

Article Agriculture, Multidisciplinary

Pedotransfer functions to estimate bulk density from soil properties and environmental covariates: Rio Doce basin

Eliana de Souza et al.

SCIENTIA AGRICOLA (2016)

Article Soil Science

Synergistic Use of Vis-NIR, MIR, and XRF Spectroscopy for the Determination of Soil Geochemistry

S. M. O'Rourke et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2016)

Article Environmental Sciences

CHANGES IN PHYSICAL PROPERTIES OF SOILS WITH LAND USE TIME IN THE BRAZILIAN SAVANNA ENVIRONMENT

Kleber Trabaquini et al.

LAND DEGRADATION & DEVELOPMENT (2015)

Article Geosciences, Multidisciplinary

System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

O. Conrad et al.

GEOSCIENTIFIC MODEL DEVELOPMENT (2015)

Review Microbiology

Does a rhizospheric microorganism enhance K+ availability in agricultural soils?

Vijay Singh Meena et al.

MICROBIOLOGICAL RESEARCH (2014)

Article Soil Science

MINERAL ASSEMBLAGE OF SOILS DEVELOPED FROM DIFFERENT LITHOLOGIES IN SOUTHERN MINAS GERAIS, BRAZIL

Marla Alessandra Araujo et al.

REVISTA BRASILEIRA DE CIENCIA DO SOLO (2014)

Review Agriculture, Multidisciplinary

DIGITAL SOIL MAPPING APPROACH BASED ON FUZZY LOGIC AND FIELD EXPERT KNOWLEDGE

Michele Duarte de Menezes et al.

CIENCIA E AGROTECNOLOGIA (2013)

Article Meteorology & Atmospheric Sciences

Koppen's climate classification map for Brazil

Clayton Alcarde Alvares et al.

METEOROLOGISCHE ZEITSCHRIFT (2013)

Article Environmental Sciences

Spatial Variation of Surface Soil Available Phosphorous and Its Relation with Environmental Factors in the Chaohu Lake Watershed

Yongnian Gao et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2011)

Article Soil Science

Prediction of soil properties using fuzzy membership values

A-Xing Zhu et al.

GEODERMA (2010)

Article Agriculture, Multidisciplinary

Mineralogical characterization of a highly-weathered soil by the Rietveld Method

Andre Mauricio Brinatti et al.

SCIENTIA AGRICOLA (2010)

Article Agriculture, Multidisciplinary

Climatic classification and tendencies in Lavras region, MG

Antonio Augusto Aguilar Dantas et al.

CIENCIA E AGROTECNOLOGIA (2007)

Article Soil Science

Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties

CW Chang et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2001)