Hasil Pencarian - Francisco Pedrero Salcedo

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  1. 1
    Ripening Indices, Olive Yield and Oil Quality in Response to Irrigation With Saline Reclaimed Water and Deficit Strategies

    Ripening Indices, Olive Yield and Oil Quality in Response to Irrigation With Saline Reclaimed Water and Deficit Strategies oleh Cristina Romero-Trigueros, Gaetano Alessandro Vivaldi, Emilio Nicolás Nicolás, Antonello Paduano, Francisco Pedrero Salcedo, Salvatore Camposeo

    Diterbitkan 2019-10-01
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  2. 2
    A Machine Learning Approach to Monitor the Physiological and Water Status of an Irrigated Peach Orchard under Semi-Arid Conditions by Using Multispectral Satellite Data

    A Machine Learning Approach to Monitor the Physiological and Water Status of an Irrigated Peach Orchard under Semi-Arid Conditions by Using Multispectral Satellite Data oleh Pasquale Campi, Anna Francesca Modugno, Gabriele De Carolis, Francisco Pedrero Salcedo, Beatriz Lorente, Simone Pietro Garofalo

    Diterbitkan 2024-08-01
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  3. 3
    Soil Salinity Prediction Using Remotely Piloted Aircraft Systems under Semi-Arid Environments Irrigated with Salty Non-Conventional Water Resources

    Soil Salinity Prediction Using Remotely Piloted Aircraft Systems under Semi-Arid Environments Irrigated with Salty Non-Conventional Water Resources oleh Francisco Pedrero Salcedo, Pedro Pérez Cutillas, Faissal Aziz, Marina Llobet Escabias, Harm Boesveld, Harm Bartholomeus, Anas Tallou

    Diterbitkan 2022-08-01
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  4. 4
    Predicting carob tree physiological parameters under different irrigation systems using Random Forest and Planet satellite images

    Predicting carob tree physiological parameters under different irrigation systems using Random Forest and Planet satellite images oleh Simone Pietro Garofalo, Vincenzo Giannico, Beatriz Lorente, Antonio José García García, Gaetano Alessandro Vivaldi, Afwa Thameur, Francisco Pedrero Salcedo

    Diterbitkan 2024-03-01
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  5. 5
    Prediction of Stem Water Potential in Olive Orchards Using High-Resolution Planet Satellite Images and Machine Learning Techniques

    Prediction of Stem Water Potential in Olive Orchards Using High-Resolution Planet Satellite Images and Machine Learning Techniques oleh Simone Pietro Garofalo, Vincenzo Giannico, Leonardo Costanza, Salem Alhajj Ali, Salvatore Camposeo, Giuseppe Lopriore, Francisco Pedrero Salcedo, Gaetano Alessandro Vivaldi

    Diterbitkan 2023-12-01
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  6. 6
    WWTP Effluent Quality Improvement for Agricultural Reuse Using an Autonomous Prototype

    WWTP Effluent Quality Improvement for Agricultural Reuse Using an Autonomous Prototype oleh Laura Ponce-Robles, Beatriz Masdemont-Hernández, Teresa Munuera-Pérez, Aránzazu Pagán-Muñoz, Andrés Jesús Lara-Guillén, Antonio José García-García, Francisco Pedrero-Salcedo, Pedro Antonio Nortes-Tortosa, Juan José Alarcón-Cabañero

    Diterbitkan 2020-08-01
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