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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 …
A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network
The alpha–beta filter algorithm has been widely researched for various applications, for
example, navigation and target tracking systems. To improve the dynamic performance of …
example, navigation and target tracking systems. To improve the dynamic performance of …
Satellite data integration for soil clay content modelling at a national scale
Soil clay content is a key parameter that influences many other soil properties and
processes. The potential of adding new and contemporary satellite data for soil property …
processes. The potential of adding new and contemporary satellite data for soil property …
Large-scale soil map** using multi-configuration EMI and supervised image classification
Reliable and high-resolution subsurface characterization beyond the field scale is of great
interest for precision agriculture and agro-ecological modelling because the shallow soil …
interest for precision agriculture and agro-ecological modelling because the shallow soil …
EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data
Frequency domain electromagnetic induction (EMI) methods have had a long history of
qualitative map** for environmental applications. More recently, the development of multi …
qualitative map** for environmental applications. More recently, the development of multi …
Characterization of field-scale soil variation using a stepwise multi-sensor fusion approach and a cost-benefit analysis
The potential of a stepwise fusion of proximally sensed portable X-ray fluorescence (pXRF)
spectra and electromagnetic induction (EMI) with remote Sentinel-2 bands and a digital …
spectra and electromagnetic induction (EMI) with remote Sentinel-2 bands and a digital …
Repeated electromagnetic induction measurements for map** soil moisture at the field scale: Validation with data from a wireless soil moisture monitoring network
Electromagnetic induction (EMI) measurements are widely used for soil map**, as they
allow fast and relatively low-cost surveys of soil apparent electrical conductivity (ECa) …
allow fast and relatively low-cost surveys of soil apparent electrical conductivity (ECa) …
[HTML][HTML] Using apparent electrical conductivity as indicator for investigating potential spatial variation of soil salinity across seven oases along Tarim River in Southern …
J Ding, S Yang, Q Shi, Y Wei, F Wang - Remote Sensing, 2020 - mdpi.com
Soil salinization is a major soil health issue globally. Over the past 40 years, extreme
weather and increasing human activity have profoundly changed the spatial distribution of …
weather and increasing human activity have profoundly changed the spatial distribution of …
[หนังสือ][B] Nonlinear estimation: methods and applications with deterministic Sample Points
Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses
on a comprehensive treatment of deterministic sample point filters (also called Gaussian …
on a comprehensive treatment of deterministic sample point filters (also called Gaussian …
Improving accuracy of the Kalman filter algorithm in dynamic conditions using ANN-based learning module
Prediction algorithms enable computers to learn from historical data in order to make
accurate decisions about an uncertain future to maximize expected benefit or avoid potential …
accurate decisions about an uncertain future to maximize expected benefit or avoid potential …