Efficacy of machine learning techniques in predicting groundwater fluctuations in agro-ecological zones of India.

No abstract is available for this paper.

• Publication year

  2021

• Venue

  Science of the Total Environment

• Publication date

  2021-04-24

• Fields of study

  Agricultural and Food Sciences, Medicine, Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/j.scitotenv.2021.147319PMID 33957597
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Quantifying the effects of climate change on hydrological regime and stream biota in a groundwater-dominated catchment: A modelling approach combining SWAT-MODFLOW with flow-biota empirical models.

  2020cited by this paper
• Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models.

  2017cited by this paper
• Global threats to human water security and river biodiversity

  2010cited by this paper
• A neural network model for predicting aquifer water level elevations

  2005cited by this paper

• Delineating hierarchical agro-ecological zones for crop production environments in Kansas

  2026cites this paper
• Application of Hybrid Machine Learning for Groundwater Level Prediction: A Comprehensive Review

  2026cites this paper
• Enhancing soil moisture prediction with explainable AI: Integrating IoT and multi-sensor remote sensing data through soft computing

  2025cites this paper
• A systematic review of neural network applications for groundwater level prediction

  2025cites this paper
• Advanced groundwater level forecasting with hybrid deep learning model: Tackling water challenges in Taiwan’s largest alluvial fan

  2025cites this paper
• An improved support vector machine model for groundwater level prediction: a case study

  2025cites this paper
• AI-Integrated Framework for Designing Optimized Groundwater Level Observation Networks Based on Hybrid Machine Learning and Stochastic Simulation Frameworks

  2025influential citation
• A deep learning-IoT integrated framework for real-time groundwater quality monitoring and prediction in urban aquifers

  2025cites this paper
• A systematic review of machine learning models for groundwater level prediction

  2025cites this paper
• Trends, challenges, and opportunities in groundwater level modeling with machine learning

  2025cites this paper
• Prediction of groundwater level in Indonesian tropical peatland forest plantations using machine learning

  2025cites this paper
• Livelihood adaptation to climate-related changes in agroecological zones in developing countries—challenges, prospects, and policy concerns

  2025cites this paper
• Ground Water Level Prediction with Non-Continuous Unevenly Spaced Small Timeseries using Machine Learning

  2024cites this paper
• Transforming groundwater sustainability, management and development through deep learning

  2024cites this paper
• Risk of groundwater depletion in Jaipur district, India: a prediction of groundwater for 2028 using artificial neural network

  2024cites this paper
• Predicting flood stages in watersheds with different scales using hourly rainfall dataset: A high-volume rainfall features empowered machine learning approach.

  2024cites this paper
• Water quality, heavy metal contamination and health risk assessment of surface water bodies of Mohammedia prefecture, Morocco

  2024cites this paper
• Applications of machine learning to water resources management: A review of present status and future opportunities

  2024cites this paper
• Groundwater level forecasting with machine learning models: A review.

  2024cites this paper
• Risk analysis for groundwater in the area of the municipal waste landfill in Sosnowiec, South Poland

  2024cites this paper
• High resolution prediction and explanation of groundwater depletion across India

  2024cites this paper
• Integrating machine learning models with cross-validation and bootstrapping for evaluating groundwater quality in Kanchanaburi Province, Thailand.

  2024cites this paper
• Prediction of Groundwater Level Changes Based on Machine Learning Technique in Highly Groundwater Irrigated Alluvial Aquifers of South-Central Punjab, India

  2024cites this paper
• A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges

  2024cites this paper
• Predicting climate smart agriculture (CSA) practices using machine learning: A prime exploratory survey

  2024cites this paper
• Site-scale groundwater pollution risk assessment using surrogate models and statistical analysis.

  2023cites this paper
• Using Simple LSTM Models to Evaluate Effects of a River Restoration on Groundwater in Kushiro Wetland, Hokkaido, Japan

  2023cites this paper
• Groundwater level dynamics in a subtropical fan delta region and its future prediction using machine learning tools: Sustainable groundwater restoration

  2023cites this paper
• A Hybrid Machine Learning-based Multi-DEM Ensemble Model of River Cross-Section Extraction: Implications on Streamflow Routing

  2023cites this paper
• Application of Hybrid ANN Techniques for Drought Forecasting in the Semi-Arid Region of India

  2023cites this paper
• An Agriprecision Decision Support System for Weed Management in Pastures

  2023cites this paper
• A Spatially Promoted SVM Model for GRACE Downscaling: Using Ground and Satellite-based Datasets

  2023cites this paper
• Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network

  2023cites this paper
• Deep-Learning-Based Water Quality Monitoring and Early Warning Methods: A Case Study of Ammonia Nitrogen Prediction in Rivers

  2023cites this paper
• Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system.

  2023cites this paper
• Predicting Groundwater Level using Temporal Attention Enhanced Graph Neural Network

  2023cites this paper
• Groundwater potentiality deciphering and sensitivity study using remote sensing technique and fuzzy approach

  2022cites this paper
• Data-based groundwater quality estimation and uncertainty analysis for irrigation agriculture

  2022cites this paper
• Groundwater level prediction based on GMS and SVR models under climate change conditions: Case Study—Talesh Plain

  2022cites this paper
• Improved drought monitoring in teleconnection to the climatic escalations: A hydrological modeling based approach.

  2022cites this paper
• Employing machine learning to quantify long-term climatological and regulatory impacts on groundwater availability in intensively irrigated regions

  2022cites this paper
• An Evaluation Model of Agricultural Entrepreneurial Ecological Environment Quality Oriented to Public Health Topic Using the Optimized Neural Network Algorithm

  2022cites this paper
• Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia

  2022cites this paper
• A new modelling framework to assess changes in groundwater level

  2022cites this paper
• Prediction of groundwater level using the hybrid model combining wavelet transform and machine learning algorithms

  2022cites this paper
• Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer)

  2022cites this paper
• A review of the application of machine learning in water quality evaluation

  2022cites this paper
• Sports-Assisted Education Based on a Support Vector Machine and Genetic Algorithm

  2022cites this paper
• Prediction of groundwater table for Chennai Region using soft computing techniques

  2022cites this paper
• Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions

  2022cites this paper
• An Intelligent Groundwater Management Recommender System

  2021cites this paper
• Deep Learning-Based Predictive Framework for Groundwater Level Forecast in Arid Irrigated Areas

  2021cites this paper
• A Systematic Review of Machine Learning Algorithms in Groundwater Level Simulations and Forecasting

  year unknowncites this paper