Hasil Pencarian - Gábor Palotás

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  1. 1
    A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data

    A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data oleh Oussama M’hamdi, Sándor Takács, Gábor Palotás, Riadh Ilahy, Lajos Helyes, Zoltán Pék

    Diterbitkan 2024-03-01
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  2. 2
    Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling

    Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling oleh Sándor Takács, Erzsébet Csengeri, Zoltán Pék, Tibor Bíró, Péter Szuvandzsiev, Gábor Palotás, Lajos Helyes

    Diterbitkan 2021-12-01
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  3. 3
    Influence of Water Stress Levels on the Yield and Lycopene Content of Tomato

    Influence of Water Stress Levels on the Yield and Lycopene Content of Tomato oleh Sándor Takács, Zoltán Pék, Dániel Csányi, Hussein G. Daood, Péter Szuvandzsiev, Gábor Palotás, Lajos Helyes

    Diterbitkan 2020-07-01
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  4. 4
    Prediction of Soluble Solids and Lycopene Content of Processing Tomato Cultivars by Vis-NIR Spectroscopy

    Prediction of Soluble Solids and Lycopene Content of Processing Tomato Cultivars by Vis-NIR Spectroscopy oleh Márton Égei, Sándor Takács, Gábor Palotás, Gabriella Palotás, Péter Szuvandzsiev, Hussein Gehad Daood, Lajos Helyes, Zoltán Pék

    Diterbitkan 2022-06-01
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