Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices

PK Singh, J Rajput, D Kumar, V Gaddikeri… - Ecological …, 2023 - Elsevier
Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in developing nations …

[HTML][HTML] Analysis of methods used to validate remote sensing and GIS-based groundwater potential maps in the last two decades: A review

G Bennett - Geosystems and Geoenvironment, 2024 - Elsevier
The integration of remote sensing data, machine learning and geographic information
system in managing and analysing spatial data helps in generating maps showing …

Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

K Halder, AK Srivastava, A Ghosh, R Nabik… - Environmental Sciences …, 2024 - Springer
Groundwater is a primary source of drinking water for billions worldwide. It plays a crucial
role in irrigation, domestic, and industrial uses, and significantly contributes to drought …

Unsupervised domain adaptation with debiased contrastive learning and support-set guided pseudo labeling for remote sensing images

D Biswas, J Tešić - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
The variability in different altitudes, geographical variances, and weather conditions across
datasets degrade state-of-the-art (SOTA) deep neural network object detection performance …

Performance of Naïve Bayes Tree with ensemble learner techniques for groundwater potential mapping

T Van Phong, BT Pham - Physics and Chemistry of the Earth, Parts A/B/C, 2023 - Elsevier
Water supply is a key challenge and priority for achieving sustainable development goals in
many countries. Recognizing areas with groundwater potential is crucial in addressing this …

Sensitivity analysis-driven machine learning approach for groundwater quality prediction: Insights from integrating ENTROPY and CRITIC methods

I Khan, M Ayaz - Groundwater for Sustainable Development, 2024 - Elsevier
Precise estimation of water quality is essential for managing water pollution effectively and
improving water management practices. Although, numerous recent investigations have …

Empowered machine learning algorithm to identify sustainable groundwater potential zone map in Jashore District, Bangladesh

SK Roy, MM Hasan, I Mondal, J Akhter, SK Roy… - Groundwater for …, 2024 - Elsevier
Groundwater is a crucial natural resource that supplies potable water to the local population
in Jashore, Bangladesh. In recent years, the district has experienced groundwater scarcity …

[HTML][HTML] Potentialities and development of groundwater resources applying machine learning models in the extended section of Manbhum-Singhbhum Plateau, India

A Ghosh, B Bera - HydroResearch, 2024 - Elsevier
Groundwater is essential for living earth including ecosystem functioning and development
of society worldwide. In recent times, demand and pressure on groundwater resources are …

Groundwater potential mapping in arid and semi-arid regions of kurdistan region of Iraq: A geoinformatics-based machine learning approach

KK Fatah, YT Mustafa, IO Hassan - Groundwater for Sustainable …, 2024 - Elsevier
Groundwater (GW) is a crucial and increasingly scarce natural resource, that is affected by
climate change and mismanagement. To manage GW resources effectively, it is crucial to …

Groundwater spring potential mapping: Assessment the contribution of hydrogeological factors

R Zhao, C Fan, A Arabameri, M Santosh… - Advances in Space …, 2024 - Elsevier
Groundwater, a fundamental asset, isn't effectively accessible in some parts of the world.
The current research work pointed toward obtaining precise maps of potential groundwater …