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Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors
Map** and monitoring soil spatial variability is particularly problematic for temporally and
spatially dynamic properties such as soil salinity. The tools necessary to address this classic …
spatially dynamic properties such as soil salinity. The tools necessary to address this classic …
[HTML][HTML] The contribution of near surface geophysics to measure soil related terroir factors in viticulture: A review
Wine quality is affected by environmental factors in the location where the vines are
cultivated, in particular the soil and the climate. Major soil-related factors influencing vine …
cultivated, in particular the soil and the climate. Major soil-related factors influencing vine …
Geophysical characterisation of the groundwater–surface water interface
Interactions between groundwater (GW) and surface water (SW) have important implications
for water quantity, water quality, and ecological health. The subsurface region proximal to …
for water quantity, water quality, and ecological health. The subsurface region proximal to …
One-dimensional deep learning inversion of electromagnetic induction data using convolutional neural network
D Moghadas - Geophysical Journal International, 2020 - academic.oup.com
Conventional geophysical inversion techniques suffer from several limitations including
computational cost, nonlinearity, non-uniqueness and dimensionality of the inverse problem …
computational cost, nonlinearity, non-uniqueness and dimensionality of the inverse problem …
Map** cation exchange capacity using a quasi-3d joint inversion of EM38 and EM31 data
Cation exchange capacity (CEC, cmol (+) kg− 1) is a measure of the capacity of soil to retain
and exchange cations. However, it is expensive to sample and directly measure across a …
and exchange cations. However, it is expensive to sample and directly measure across a …
[HTML][HTML] Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors
Soil sensing enables rapid and cost-effective soil analysis. However, a single sensor often
does not generate enough information to reliably predict a wide range of soil properties …
does not generate enough information to reliably predict a wide range of soil properties …
Impact of saline soil improvement measures on salt content in the abandonment-reclamation process
X Shi, H Wang, J Song, X Lv, W Li, B Li, J Shi - Soil and Tillage Research, 2021 - Elsevier
Understanding the impacts of desalination treatments on salt migration in saline soil during
the farmland abandonment-reclamation process has significance for saline soil …
the farmland abandonment-reclamation process has significance for saline soil …
Spatial variability of soil water content and soil electrical conductivity across scales derived from Electromagnetic Induction and Time Domain Reflectometry
Quick, reliable and accurate estimates of soil water content (SWC) at intermediate (slope) to
larger scale (catchment) are important for understanding hydrological processes and may …
larger scale (catchment) are important for understanding hydrological processes and may …
Quantification of soil water content by machine learning using enhanced high-resolution ERT
F Meng, J Wang, Y Zhao, Z Chen - Journal of Hydrology, 2024 - Elsevier
The accurate acquisition of soil water content is a fundamental cornerstone of research into
hydrological processes and agricultural engineering. Electrical Resistivity Tomography …
hydrological processes and agricultural engineering. Electrical Resistivity Tomography …
Monitoring and modelling soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman filter
Understanding the soil water (θ) dynamics is important in irrigated agriculture. Due to the
labour-intensive nature of determining θ, non-invasive electromagnetic (EM) induction …
labour-intensive nature of determining θ, non-invasive electromagnetic (EM) induction …