Integrating active and passive remote sensing data for mapping soil salinity using machine learning and feature selection approaches in arid regions

SA Mohamed, MM Metwaly, MR Metwalli… - Remote Sensing, 2023 - mdpi.com
The prevention of soil salinization and managing agricultural irrigation depend greatly on
accurately estimating soil salinity. Although the long-standing laboratory method of …

Prediction of soil salinity parameters using machine learning models in an arid region of northwest China

C Xiao, Q Ji, J Chen, F Zhang, Y Li, J Fan, X Hou… - … and Electronics in …, 2023 - Elsevier
Accurate estimation of soil ions composition is of great significance for preventing soil
salinization and guiding crop irrigation. The traditional laboratory measurement of ions …

Investigating spatial distribution of fluoride in groundwater with respect to hydro-geochemical characteristics and associated probabilistic health risk in Baruipur block …

A De, A Das, M Joardar, D Mridha, A Majumdar… - Science of The Total …, 2023 - Elsevier
Fluoride (F−) enrichment in groundwater of the lower Gangetic plain in West Bengal, India is
a major concern. Fluoride contamination and its toxicity were reported earlier in this region; …

Spectral prediction of soil salinity and alkalinity indicators using visible, near-, and mid-infrared spectroscopy

L Lotfollahi, MA Delavar, A Biswas, S Fatehi… - Journal of …, 2023 - Elsevier
Drought and the impacts of climate change have led to an escalation in soil salinity and
alkalinity across various regions worldwide, including Iran. The Chahardowli Plain in …

Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: hybridization of ensemble TVF-EMD-VMD …

M Jamei, M Ali, M Karbasi, B Karimi… - Expert Systems with …, 2024 - Elsevier
The sodium adsorption ratio (SAR) is the most crucial irrigation water quality indicator to
diagnose the suitability of agricultural water resources. Due to this reason, accurate …

[HTML][HTML] Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean

S Mohammed, S Arshad, B Bashir, B Ata… - Journal of …, 2024 - Elsevier
Soil salinization is a critical global issue for sustainable agriculture, impacting crop yields
and posing a threat to achieving the Sustainable Development Goal (SDG) of ensuring food …

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 …

Agroecological transformation in the salt composition of soil under the phosphogypsum influence on irrigated lands in Ukraine

D Onopriienko, T Makarova, H Hapich, Y Chernysh… - Agriculture, 2024 - mdpi.com
The purpose of our research is to evaluate the agroecological condition of soils under long-
term irrigation (over 50 years) and to improve existing measures to slow down degradation …

[HTML][HTML] Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe

S Mohammed, S Arshad, B Bashir, A Vad… - Agricultural Water …, 2024 - Elsevier
Sodium hazard poses a critical threat to agricultural production globally and regionally
which has been previously predicted from ground or surface water. Monitoring rainwater …

Formation of solonchak in the area of the discharged ancient brine wells (Perm krai, Russia)

E Khayrulina, N Mitrakova, N Poroshina… - Frontiers in …, 2022 - frontiersin.org
The change in soil-forming processes and, as a result, in the ecosystem due to nearly 300-
year long outflow of highly saline waters from ancient brine wells is considered for Perm Krai …