Osama Elsherbiny

Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes

Majed A. Alotaibi, Majed Alotaibi, Salah El-Hendawy, 2021, Remote. Sens..

Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

S. Elsayed, Mohamed Hamdy Eid, H. Ibrahim, 2023, Water.

Estimating the Leaf Water Status and Grain Yield of Wheat under Different Irrigation Regimes Using Optimized Two- and Three-Band Hyperspectral Indices and Multivariate Regression Models

Urs Schmidhalter, Salah El-Hendawy, Salah Elsayed, 2021, Water.

Assessing the Efficiency of Remote Sensing and Machine Learning Algorithms to Quantify Wheat Characteristics in the Nile Delta Region of Egypt

A. H. Elmetwalli, Z. Yaseen, P. Hunter, 2022, Agriculture.

Integration of Spectral Reflectance Indices and Adaptive Neuro-Fuzzy Inference System for Assessing the Growth Performance and Yield of Potato under Different Drip Irrigation Regimes

Salah El-Hendawy, Nasser Al-Suhaibani, Muhammad Usman Tahir, 2021, Chemosensors.

Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia

Mostafa R. Abukhadra, A. El-Sherbeeny, S. Elsayed, 2023, Water.

Groundwater Quality and Health Risk Assessment Using Indexing Approaches, Multivariate Statistical Analysis, Artificial Neural Networks, and GIS Techniques in El Kharga Oasis, Egypt

S. Elsayed, M. E. Moustapha, Mohamed Hamdy Eid, 2023, Water.