Evaluation of machine learning algorithms in the prediction of hydraulic conductivity and soil moisture at the Brazilian Savannah

MF Veloso, LN Rodrigues, EI Fernandes Filho - Geoderma Regional, 2022 - Elsevier
Abstract The Brazilian Savannah (Cerrado biome) is the the main agricultural region in
Brazil. The Cerrado has experienced a growing intensification of agriculture and an increase …

Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques

R Shukla, P Kumar, DK Vishwakarma, R Ali… - Theoretical and Applied …, 2021 - Springer
The development of the stage-discharge relationship is a fundamental issue in hydrological
modeling. Due to the complexity of the stage-discharge relationship, discharge prediction …

Innovative overview of SWRC application in modeling geotechnical engineering problems

KC Onyelowe, FF Mojtahedi, S Azizi, HA Mahdi… - Designs, 2022 - mdpi.com
The soil water retention curve (SWRC) or soil–water characteristic curve (SWCC) is a
fundamental feature of unsaturated soil that simply shows the relationship between soil …

Agricultural drought risk assessment in Southwest China

Z Zeng, W Wu, Z Li, Y Zhou, Y Guo, H Huang - Water, 2019 - mdpi.com
Drought disasters jeopardize agricultural production and are expected to become more
serious in the context of global climate change. However, in China, little attention has been …

Artificial neural networks and computer vision's-based phytoindication systems for variable rate irrigation improving

G Kamyshova, A Osipov, S Gataullin… - IEEE …, 2022 - ieeexplore.ieee.org
The article proposes a methodology for optimizing the process of irrigation of crops using a
phytoindication system based on computer vision methods. We have proposed an algorithm …

[HTML][HTML] Towards efficient irrigation management at field scale using new technologies: A systematic literature review

A Bounajra, K El Guemmat, K Mansouri… - Agricultural Water …, 2024 - Elsevier
Life on earth is linked to water resources. Recently, alarm bells have been ringing in global
organizations to raise awareness of the importance of rational use of water resources, which …

Machine learning approaches for the prediction of soil aggregate stability

Y Bouslihim, A Rochdi, NEA Paaza - Heliyon, 2021 - cell.com
Abstract Currently, many Pedotransfer Functions (PTFs) are being developed to predict
certain soil properties worldwide, especially for difficult and time-consuming parameters to …

An offline multi‐scale unsaturated poromechanics model enabled by self‐designed/self‐improved neural networks

Y Heider, HS Suh, WC Sun - International Journal for …, 2021 - Wiley Online Library
Supervised machine learning via artificial neural network (ANN) has gained significant
popularity for many geomechanics applications that involves multi‐phase flow and …

Electrical resistivity imaging for monitoring soil water motion patterns under different drip irrigation scenarios

D Vanella, JM Ramírez-Cuesta, A Sacco… - Irrigation Science, 2021 - Springer
The use of hydrogeophysical methods provides insights for supporting optimal irrigation
design and management. In the present study, the electrical resistivity imaging (ERI) was …

Artificial neural network optimization to predict saturated hydraulic conductivity in arid and semi-arid regions

A Albalasmeh, O Mohawesh, M Gharaibeh, S Deb… - Catena, 2022 - Elsevier
Saturated hydraulic conductivity (K sat), one of the critical soil hydraulic properties, is used to
model many soil hydrological processes. Measurement of K sat on a routine basis is a labor …