Modeling monthly crop coefficients of maize based on limited meteorological data: A case study in Nile Delta, Egypt. - Ahmed Elbeltagi; Linjing Zhang; Jinsong Deng; Adam Juma; Ke Wang 016 (Comput. Electron. Agric., 2020)

Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms. - Ali Mokhtar; Mohammadnabi Jalali; Hongming He; Nadhir Al-Ansari; Ahmed Elbeltagi; Karam Alsafadi; Hazem Ghassan Abdo; Saad Sh. Sammen; Yeboah Gyasi-Agyei; Jesús Rodrigo-Comino (IEEE Access, 2021)

Estimation of the rice water footprint based on machine learning algorithms. - Ali Mokhtar; Ahmed Elbeltagi; Saman Maroufpoor; Nasrin Azad; Hongming He; Karam Alsafadi; Yeboah Gyasi-Agyei; Wenming He (Comput. Electron. Agric., 2021)

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. - Abdullah Azzam; Wanchang Zhang 001; Fazlullah Akhtar; Zubair Shaheen; Ahmed Elbeltagi (Comput. Electron. Agric., 2022)

Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection. - Mehdi Jamei; Ahmed Elbeltagi; Saman Maroufpoor; Masoud Karbasi; Mozhdeh Jamei; Mohammadnabi Jalali; Negin Najafzadeh (Comput. Electron. Agric., 2022)

A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean. - Safwan Mohammed; Ahmed Elbeltagi; Bashar Bashir; Karam Alsafadi; Firas Alsilibe; Abdullah Alsalman; Mojtaba Zeraatpisheh; Adrienn Széles; Endre Harsányi (Comput. Electron. Agric., 2022)

Watershed prioritization using morphometric analysis by MCDM approaches. - Purabi Sarkar; Pankaj Kumar; Dinesh Kumar Vishwakarma; Alaknanda Ashok; Ahmed Elbeltagi; Sandeep Gupta; Alban Kuriqi (Ecol. Informatics, 2022)

Investigating Relationships between Runoff-Erosion Processes and Land Use and Land Cover Using Remote Sensing Multiple Gridded Datasets. - Cláudia Adriana Bueno da Fonseca; Nadhir Al-Ansari; Richarde Marques da Silva; Celso Augusto Guimarães Santos; Bilel Zerouali; Daniel Bezerra de Oliveira; Ahmed Elbeltagi (ISPRS Int. J. Geo Inf., 2022)

Groundwater level prediction using machine learning algorithms in a drought-prone area. - Quoc Bao Pham; Manish Kumar; Fabio Di Nunno; Ahmed Elbeltagi; Francesco Granata; Abu Reza Md. Towfiqul Islam; Swapan Talukdar; X. Cuong Nguyen; Ali Najah Ahmed; Duong Tran Anh (Neural Comput. Appl., 2022)

Development of Smart Weighing Lysimeter for Measuring Evapotranspiration and Developing Crop Coefficient for Greenhouse Chrysanthemum. - Atish Sagar; Murtaza Hasan; Dhirendra Kumar Singh; Nadhir Al-Ansari; Debashis Chakraborty; Mam Chand Singh; Mir Asif Iquebal; Amit Kumar; Pankaj Malkani; Dinesh Kumar Vishwakarma; Ahmed Elbeltagi (Sensors, 2022)

Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin. - Rabeea Noor; Arfan Arshad; Muhammad Shafeeque; Jinping Liu; Azhar Baig; Shoaib Ali; Aarish Maqsood; Quoc Bao Pham; Adil Dilawar; Shahbaz Nasir Khan; Duong Tran Anh; Ahmed Elbeltagi (Remote. Sens., 2023)

Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices. - Dimple; Pradeep Kumar Singh 006; Jitendra Rajput; Dheeraj Kumar; Venkatesh Gaddikeri; Ahmed Elbeltagi (Ecol. Informatics, 2023)

GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation. - Ahmed Elbeltagi; Akram Seifi; Mohammad Ehteram; Bilel Zerouali; Dinesh Kumar Vishwakarma; Kusum Pandey (Neural Comput. Appl., 2023)

Data mining predictive algorithms for estimating soil water content. - Somayeh Emami; Vahid Rezaverdinejad; Hossein Dehghanisanij; Hojjat Emami; Ahmed Elbeltagi (Soft Comput., 2024)

Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture. - Abhishek Upadhyay; Narendra Singh Chandel; Krishna Pratap Singh; Subir Kumar Chakraborty; Balaji Murhari Nandede; Mohit Kumar; A. Subeesh; Konga Upendar; Ali Salem; Ahmed Elbeltagi (Artif. Intell. Rev., 2025)

Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops. - Mukta Nainwal; Anurag Satpathi; Saqib Shamsi; Ali Salem; Ajeet Singh Nain; Dinesh Kumar Vishwakarma; Ahmed Elbeltagi; Salah El-Hendawy; Mohamed A. Mattar (J. Big Data, 2025)