Combining Genetic Analysis and Multivariate Modeling to Evaluate Spectral Reflectance Indices as Indirect Selection Tools in Wheat Breeding under Water Deficit Stress Conditions. - Salah El-Hendawy; Nasser Al-Suhaibani; Ibrahim Al-Ashkar; Majed Alotaibi; Muhammad Usman Tahir; Talaat Solieman; Wael M. Hassan (Remote. Sens., 2020)

Potential of Hyperspectral and Thermal Proximal Sensing for Estimating Growth Performance and Yield of Soybean Exposed to Different Drip Irrigation Regimes Under Arid Conditions. - Adel H. Elmetwalli; Salah El-Hendawy; Nasser Al-Suhaibani; Majed Alotaibi; Muhammad Usman Tahir; Muhammad Mubushar; Wael M. Hassan; Salah Elsayed (Sensors, 2020)

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. - Salah Elsayed; Salah El-Hendawy; Mosaad Khadr; Osama Elsherbiny; Nasser Al-Suhaibani; Majed Alotaibi; Muhammad Usman Tahir; Waleed Darwish (Remote. Sens., 2021)

Satellite-Based Determination of the Water Footprint of Carrots and Onions Grown in the Arid Climate of Saudi Arabia. - Khalid A. Al-Gaadi; Rangaswamy Madugundu; ElKamil H. M. Tola; Salah El-Hendawy; Samy Marey (Remote. Sens., 2022)

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)