A better understanding of soil response to dynamic loads, including earthquakes, can result
in safer designs that can reduce casualties. The damping ratio and shear modulus are …

This work proposes a single probe imitation of multidepth capacitive soil moisture sensor for
low-cost and energy-efficient implementation of IoT-assisted wireless sensor network …

Data mining algorithms such as Artificial Neural Networks (ANN) and k-Nearest Neighbour
(kNN) have proven their merits in pedotransfer function modelling. Kriging is a well-known …

This work reveals the effect of hidden layers (HL) and neurons (N) on the performance of
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …

In the past decades, remarkable progresses have been made in developing soil water
retention (SWR) functions and relative hydraulic conductivity (kr) models for the full range of …

Yellow River sediment is the potential resource for saline–sodic soil reclamation.
Experiments of one-dimensional soil columns were conducted to investigate the upward and …

The study assessed the drainage system in the lowland of Bontanga irrigation scheme in
Ghana. The study specifically characterized the physico-chemical and hydraulic properties …

Saturated hydraulic conductivity is one of the main parameters in agricultural and
environmental studies that is essential for the estimation and management of water and …