Hasil Pencarian - Osama Elsherbiny

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  1. 1
    Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data

    Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data oleh Osama Elsherbiny, Yangyang Fan, Lei Zhou, Zhengjun Qiu

    Diterbitkan 2021-01-01
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  2. 2
    Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in Rice

    Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in Rice oleh Osama Elsherbiny, Lei Zhou, Lei Feng, Zhengjun Qiu

    Diterbitkan 2021-05-01
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  3. 3
    Rapid Grapevine Health Diagnosis Based on Digital Imaging and Deep Learning

    Rapid Grapevine Health Diagnosis Based on Digital Imaging and Deep Learning oleh Osama Elsherbiny, Ahmed Elaraby, Mohammad Alahmadi, Mosab Hamdan, Jianmin Gao

    Diterbitkan 2024-01-01
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  4. 4
    Using RGB Imaging, Optimized Three-Band Spectral Indices, and a Decision Tree Model to Assess Orange Fruit Quality

    Using RGB Imaging, Optimized Three-Band Spectral Indices, and a Decision Tree Model to Assess Orange Fruit Quality oleh Hoda Galal, Salah Elsayed, Osama Elsherbiny, Aida Allam, Mohamed Farouk

    Diterbitkan 2022-09-01
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  5. 5
    Potential of Thermal and RGB Imaging Combined with Artificial Neural Networks for Assessing Salt Tolerance of Wheat Genotypes Grown in Real-Field Conditions

    Potential of Thermal and RGB Imaging Combined with Artificial Neural Networks for Assessing Salt Tolerance of Wheat Genotypes Grown in Real-Field Conditions oleh Salah El-Hendawy, Muhammad Usman Tahir, Nasser Al-Suhaibani, Salah Elsayed, Osama Elsherbiny, Hany Elsharawy

    Diterbitkan 2024-06-01
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  6. 6
    Evaluating the Efficacy of Sentinel-2B and Landsat-8 for Estimating and Mapping Wheat Straw Cover in Rice–Wheat Fields

    Evaluating the Efficacy of Sentinel-2B and Landsat-8 for Estimating and Mapping Wheat Straw Cover in Rice–Wheat Fields oleh Muhammad Sohail Memon, Shuren Chen, Yaxiao Niu, Weiwei Zhou, Osama Elsherbiny, Runzhi Liang, Zhiqiang Du, Xiaohu Guo

    Diterbitkan 2023-10-01
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  7. 7
    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

    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 Regim... oleh Salah Elsayed, Salah El-Hendawy, Mosaad Khadr, Osama Elsherbiny, Nasser Al-Suhaibani, Majed Alotaibi, Muhammad Usman Tahir, Waleed Darwish

    Diterbitkan 2021-04-01
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  8. 8
    Assessing the Efficiency of Remote Sensing and Machine Learning Algorithms to Quantify Wheat Characteristics in the Nile Delta Region of Egypt

    Assessing the Efficiency of Remote Sensing and Machine Learning Algorithms to Quantify Wheat Characteristics in the Nile Delta Region of Egypt oleh Adel H. Elmetwalli, Yasser S. A. Mazrou, Andrew N. Tyler, Peter D. Hunter, Osama Elsherbiny, Zaher Mundher Yaseen, Salah Elsayed

    Diterbitkan 2022-02-01
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  9. 9
    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

    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 M... oleh Salah Elsayed, Salah El-Hendawy, Yaser Hassan Dewir, Urs Schmidhalter, Hazem H. Ibrahim, Mohamed M. Ibrahim, Osama Elsherbiny, Mohamed Farouk

    Diterbitkan 2021-09-01
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  10. 10
    Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks

    Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks oleh Salah Elsayed, Hekmat Ibrahim, Hend Hussein, Osama Elsherbiny, Adel H. Elmetwalli, Farahat S. Moghanm, Adel M. Ghoneim, Subhan Danish, Rahul Datta, Mohamed Gad

    Diterbitkan 2021-11-01
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  11. 11
    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

    Integration of Spectral Reflectance Indices and Adaptive Neuro-Fuzzy Inference System for Assessing the Growth Performance and Yield of Potato under Different Drip Irrigation Regim... oleh Salah Elsayed, Salah El-Hendawy, Mosaad Khadr, Osama Elsherbiny, Nasser Al-Suhaibani, Yaser Hassan Dewir, Muhammad Usman Tahir, Muhammad Mubushar, Waleed Darwish

    Diterbitkan 2021-03-01
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  12. 12
    Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipper

    Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipper oleh Abdallah Elshawadfy Elwakeel, Saher M. A. Mohamed, Abubakr Abdelwahab Tantawy, Abdelaziz M. Okasha, Salah Elsayed, Osama Elsherbiny, Aitazaz A. Farooque, Zaher Mundher Yaseen

    Diterbitkan 2024-03-01
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  13. 13
    Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies

    Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies oleh Adel H. Elmetwalli, Asaad Derbala, Ibtisam Mohammed Alsudays, Eman A. Al-Shahari, Mahmoud Elhosary, Salah Elsayed, Laila A. Al-Shuraym, Farahat S. Moghanm, Osama Elsherbiny

    Diterbitkan 2024-01-01
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  14. 14
    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

    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, Al... oleh Aissam Gaagai, Hani Amir Aouissi, Selma Bencedira, Gilbert Hinge, Ali Athamena, Salim Heddam, Mohamed Gad, Osama Elsherbiny, Salah Elsayed, Mohamed Hamdy Eid, Hekmat Ibrahim

    Diterbitkan 2023-01-01
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  15. 15
    Estimating Chlorophyll Content, Production, and Quality of Sugar Beet under Various Nitrogen Levels Using Machine Learning Models and Novel Spectral Indices

    Estimating Chlorophyll Content, Production, and Quality of Sugar Beet under Various Nitrogen Levels Using Machine Learning Models and Novel Spectral Indices oleh Salah Elsayed, Salah El-Hendawy, Osama Elsherbiny, Abdelaziz M. Okasha, Adel H. Elmetwalli, Abdallah E. Elwakeel, Muhammad Sohail Memon, Mohamed E. M. Ibrahim, Hazem H. Ibrahim

    Diterbitkan 2023-10-01
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  16. 16
    Groundwater Quality and Health Risk Assessment Using Indexing Approaches, Multivariate Statistical Analysis, Artificial Neural Networks, and GIS Techniques in El Kharga Oasis, Egypt

    Groundwater Quality and Health Risk Assessment Using Indexing Approaches, Multivariate Statistical Analysis, Artificial Neural Networks, and GIS Techniques in El Kharga Oasis, Egyp... oleh Mohamed Gad, Aissam Gaagai, Mohamed Hamdy Eid, Péter Szűcs, Hend Hussein, Osama Elsherbiny, Salah Elsayed, Moataz M. Khalifa, Farahat S. Moghanm, Moustapha E. Moustapha, Dina A. Tolan, Hekmat Ibrahim

    Diterbitkan 2023-03-01
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  17. 17
    Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress

    Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress oleh Mohamed A. Sharaf-Eldin, Salah Elsayed, Adel H. Elmetwalli, Zaher Mundher Yaseen, Farahat S. Moghanm, Mohssen Elbagory, Sahar El-Nahrawy, Alaa El-Dein Omara, Andrew N. Tyler, Osama Elsherbiny

    Diterbitkan 2023-01-01
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  18. 18
    Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modelling to Assess the Bottom Sediment Quality of Lake Qaroun, Egypt

    Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modelling to Assess the Bottom Sediment Quality of Lake Qaroun, Egypt oleh Ali H. Saleh, Salah Elsayed, Mohamed Gad, Adel H. Elmetwalli, Osama Elsherbiny, Hend Hussein, Farahat S. Moghanm, Amjad S. Qazaq, Ebrahem M. Eid, Aziza S. El-Kholy, Mostafa A. Taher, Magda M. Abou El-Safa

    Diterbitkan 2022-03-01
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  19. 19
    Comprehensive evaluation and prediction of groundwater quality and risk indices using quantitative approaches, multivariate analysis, and machine learning models: An exploratory study

    Comprehensive evaluation and prediction of groundwater quality and risk indices using quantitative approaches, multivariate analysis, and machine learning models: An exploratory st... oleh Mohamed Gad, Aissam Gaagai, Asmaa A. Agrama, Walaa F.M. El-Fiqy, Mohamed Hamdy Eid, Péter Szűcs, Salah Elsayed, Osama Elsherbiny, Mosaad Khadr, Mostafa R. Abukhadra, Haifa E. Alfassam, Stefano Bellucci, Hekmat Ibrahim

    Diterbitkan 2024-09-01
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  20. 20
    Environmental Assessment of Potentially Toxic Elements Using Pollution Indices and Data-Driven Modeling in Surface Sediment of the Littoral Shelf of the Mediterranean Sea Coast and Gamasa Estuary, Egypt

    Environmental Assessment of Potentially Toxic Elements Using Pollution Indices and Data-Driven Modeling in Surface Sediment of the Littoral Shelf of the Mediterranean Sea Coast and... oleh Magda M. Abou El-Safa, Salah Elsayed, Osama Elsherbiny, Adel H. Elmetwalli, Mohamed Gad, Farahat S. Moghanm, Ebrahem M. Eid, Mostafa A. Taher, Mohamed H. E. El-Morsy, Hanan E. M. Osman, Ali H. Saleh

    Diterbitkan 2022-06-01
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