Osama Elsherbiny

Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in Rice

Zhengjun Qiu, Lei Zhou, Osama Elsherbiny, 2021, Remote. Sens..

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.

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.

Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data

Zhengjun Qiu, Lei Zhou, Osama Elsherbiny, 2021, Agriculture.

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..