pXRF in tropical soils: Methodology, applications, achievements and challenges
Proximal sensors have been increasingly used for a variety of purposes worldwide, with
great interest on portable X-ray fluorescence (pXRF) spectrometry applications in Soil …
great interest on portable X-ray fluorescence (pXRF) spectrometry applications in Soil …
Atomic spectrometry update–a review of advances in environmental analysis
JR Bacon, OT Butler, WRL Cairns, O Cavoura… - Journal of Analytical …, 2024 - pubs.rsc.org
Highlights in the field of air analysis included: a new focus on measuring tyre-wear particle
emissions; an interest in using unmanned aerial vehicles for sampling purposes and an …
emissions; an interest in using unmanned aerial vehicles for sampling purposes and an …
Spatial prediction of soil sand content at various sampling density based on geostatistical and machine learning algorithms in plain areas
L Qu, H Lu, Z Tian, JM Schoorl, B Huang, Y Liang… - Catena, 2024 - Elsevier
Accurate prediction of the spatial distribution of soil sand content is a pre-requisite for land
use management, soil quality evaluation and erosion control, as it determines the transport …
use management, soil quality evaluation and erosion control, as it determines the transport …
Quantification of some intrinsic soil properties using proximal sensing in arid lands: Application of Vis-NIR, MIR, and pXRF spectroscopy
The aim of the current research was to examine the effectiveness of Vis-NIR-SWIR (visible,
near-infrared, and shortwave infrared spectroscopy: 350–2500 nm), MIR (mid-infrared …
near-infrared, and shortwave infrared spectroscopy: 350–2500 nm), MIR (mid-infrared …
Proximal sensor data fusion and auxiliary information for tropical soil property prediction: Soil texture
R Andrade, M Mancini, AF dos Santos Teixeira… - Geoderma, 2022 - Elsevier
Soil texture is a primary variable influencing many soil chemical-physical-biological
processes, providing important information for decision-making regarding sustainable soil …
processes, providing important information for decision-making regarding sustainable soil …
Soil texture prediction using portable X-ray fluorescence spectrometry and visible near-infrared diffuse reflectance spectroscopy
Portable X-ray fluorescence (pXRF) spectrometry and visible near-infrared diffuse
reflectance spectroscopy (Vis-NIR DRS), used separately or in tandem, have become …
reflectance spectroscopy (Vis-NIR DRS), used separately or in tandem, have become …
Assessing the effect of soil to water ratios and sampling strategies on the prediction of EC and pH using pXRF and Vis-NIR spectra
Soil electrical conductivity (EC) and pH play a critical role in managing agricultural
productivity. We investigated the effect of soil to water ratios (1: 1, 1: 2.5, 1: 5) and sampling …
productivity. We investigated the effect of soil to water ratios (1: 1, 1: 2.5, 1: 5) and sampling …
[HTML][HTML] Improving soil organic matter estimation accuracy by combining optimal spectral preprocessing and feature selection methods based on pXRF and vis-NIR …
X Shi, J Song, H Wang, X Lv, Y Zhu, W Zhang, W Bu… - Geoderma, 2023 - Elsevier
Rapid and accurate estimation of soil organic matter (SOM) content is of great significance
for agricultural production and carbon stock estimation. Visible-near-infrared spectroscopy …
for agricultural production and carbon stock estimation. Visible-near-infrared spectroscopy …
Soil profile analysis using interactive visualizations, machine learning, and deep learning
Soil is an essential element of life, and soil properties are crucial in analyzing soil health.
Recent developments of proximal sensor technologies, such as portable X-ray fluorescence …
Recent developments of proximal sensor technologies, such as portable X-ray fluorescence …
Different approaches to estimating soil properties for digital soil map integrated with machine learning and remote sensing techniques in a sub-humid ecosystem
Today, data mining has become a relevant topic in digital soil mapping. In this current study,
prediction of some soil properties and their spatial distribution were examined by machine …
prediction of some soil properties and their spatial distribution were examined by machine …