Ahmed Elbeltagi

Orcid: 0000-0002-5506-9502

According to our database1, Ahmed Elbeltagi authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data mining predictive algorithms for estimating soil water content.
Soft Comput., March, 2024

2023
GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation.
Neural Comput. Appl., July, 2023

Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices.
Ecol. Informatics, July, 2023

Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin.
Remote. Sens., January, 2023

2022
Development of Smart Weighing Lysimeter for Measuring Evapotranspiration and Developing Crop Coefficient for Greenhouse Chrysanthemum.
Sensors, 2022

Groundwater level prediction using machine learning algorithms in a drought-prone area.
Neural Comput. Appl., 2022

Investigating Relationships between Runoff-Erosion Processes and Land Use and Land Cover Using Remote Sensing Multiple Gridded Datasets.
ISPRS Int. J. Geo Inf., 2022

Watershed prioritization using morphometric analysis by MCDM approaches.
Ecol. Informatics, 2022

A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean.
Comput. Electron. Agric., 2022

Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection.
Comput. Electron. Agric., 2022

Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia.
Comput. Electron. Agric., 2022

2021
Estimation of the rice water footprint based on machine learning algorithms.
Comput. Electron. Agric., 2021

Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms.
IEEE Access, 2021

2020
Modeling monthly crop coefficients of maize based on limited meteorological data: A case study in Nile Delta, Egypt.
Comput. Electron. Agric., 2020


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