Hasil Pencarian - Naser Davatgar

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  1. 1
    Comparison of Fuzzy logic and Boolean methods in mapping nitrogen and phosphorus nutrients

    Comparison of Fuzzy logic and Boolean methods in mapping nitrogen and phosphorus nutrients oleh Kazem Hashemimajd, Shaghayegh Kochakpour, Naser Davatgar, Elham Sohrabi

    Diterbitkan 2021-04-01
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  2. 2
    Study of The Effect of Saline Water on Rice Yield under Water Stress Conditions

    Study of The Effect of Saline Water on Rice Yield under Water Stress Conditions oleh Mojtaba Rezaee, Naser Davatgar, Mohammadreza Khaledian, Afshin Ashrafzadeh, Masood Kavoosi, Mohsen Zavareh

    Diterbitkan 2012-09-01
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  3. 3
    Digital Mapping of Topsoil Texture Classes Using a Hybridized Classical Statistics–Artificial Neural Networks Approach and Relief Data

    Digital Mapping of Topsoil Texture Classes Using a Hybridized Classical Statistics–Artificial Neural Networks Approach and Relief Data oleh Sina Mallah, Bahareh Delsouz Khaki, Naser Davatgar, Raul Roberto Poppiel, José A. M. Demattê

    Diterbitkan 2022-12-01
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  4. 4
    Mapping Climate Zones of Iran Using Hybrid Interpolation Methods

    Mapping Climate Zones of Iran Using Hybrid Interpolation Methods oleh Ebrahim Asadi Oskouei, Bahareh Delsouz Khaki, Saeedeh Kouzegaran, Mir Naser Navidi, Masoud Haghighatd, Naser Davatgar, Ernesto Lopez-Baeza

    Diterbitkan 2022-05-01
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  5. 5
    Deep Insight on Land Use/Land Cover Geospatial Assessment through Internet-Based Validation Tool in Upper Karkheh River Basin (KRB), South-West Iran

    Deep Insight on Land Use/Land Cover Geospatial Assessment through Internet-Based Validation Tool in Upper Karkheh River Basin (KRB), South-West Iran oleh Sina Mallah, Manouchehr Gorji, Mohammad Reza Balali, Hossein Asadi, Naser Davatgar, Hojjat Varmazyari, Anna Maria Stellacci, Mirko Castellini

    Diterbitkan 2023-04-01
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  6. 6
    Predicting Soil Textural Classes Using Random Forest Models: Learning from Imbalanced Dataset

    Predicting Soil Textural Classes Using Random Forest Models: Learning from Imbalanced Dataset oleh Sina Mallah, Bahareh Delsouz Khaki, Naser Davatgar, Thomas Scholten, Alireza Amirian-Chakan, Mostafa Emadi, Ruth Kerry, Amir Hosein Mosavi, Ruhollah Taghizadeh-Mehrjardi

    Diterbitkan 2022-10-01
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  7. 7
    Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

    Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space oleh Ruhollah Taghizadeh-Mehrjardi, Karsten Schmidt, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten

    Diterbitkan 2020-03-01
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