يعرض 1 - 10 نتائج من 10 نتيجة بحث عن '"Rhiannon Schilling"', وقت الاستعلام: 0.33s تنقيح النتائج
  1. 1
    Machine learning to extract maximum value from soil and crop variability, Paddocks pre-processed ML input datasets

    المؤلفون: Rakesh David, Rhiannon Schilling, Glenn McDonald

    مصطلحات موضوعية: Agricultural land management, Agricultural management of nutrients, Agronomy, Roseworthy paddocks, Machine Learning, EM38, crop yield

    Relation: https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Paddocks_pre-processed_ML_input_datasets/19158419

    الاتاحة: https://doi.org/10.25909/19158419.v2
    https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Paddocks_pre-processed_ML_input_datasets/19158419

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  2. 2
    Machine learning to extract maximum value from soil and crop variability, Raw datasets

    المؤلفون: Rakesh David, Rhiannon Schilling, Glenn McDonald

    مصطلحات موضوعية: Agricultural land management, Agronomy, Machine learning not elsewhere classified, Roseworthy paddocks, Machine Learning, EM38, crop yield

    Relation: https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Raw_datasets/19158698

    الاتاحة: https://doi.org/10.25909/19158698.v2
    https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Raw_datasets/19158698

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  3. 3
    Machine learning to extract maximum value from soil and crop variability, Paddocks pre-processed ML input datasets

    المؤلفون: Rakesh David, Rhiannon Schilling, Glenn McDonald

    مصطلحات موضوعية: Agricultural land management, Agricultural management of nutrients, Agronomy, Roseworthy paddocks, Machine Learning, EM38, crop yield

    Relation: https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Paddocks_pre-processed_ML_input_datasets/19158419

    الاتاحة: https://doi.org/10.25909/19158419.v2
    https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Paddocks_pre-processed_ML_input_datasets/19158419

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  4. 4
    Machine learning to extract maximum value from soil and crop variability, Raw datasets

    المؤلفون: Rakesh David, Rhiannon Schilling, Glenn McDonald

    مصطلحات موضوعية: Agricultural land management, Agronomy, Machine learning not elsewhere classified, Roseworthy paddocks, Machine Learning, EM38, crop yield

    Relation: https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Raw_datasets/19158698

    الاتاحة: https://doi.org/10.25909/19158698.v2
    https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Raw_datasets/19158698

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  5. 5
    Machine learning to extract maximum value from soil and crop variability, Paddocks pre-processed ML input datasets

    المؤلفون: Rakesh David, Rhiannon Schilling, Glenn McDonald

    مصطلحات موضوعية: Agricultural land management, Agricultural management of nutrients, Agronomy, Roseworthy paddocks, Machine Learning, EM38, crop yield

    Relation: https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Paddocks_pre-processed_ML_input_datasets/19158419

    الاتاحة: https://doi.org/10.25909/19158419.v2

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  6. 6
    Machine learning to extract maximum value from soil and crop variability, Raw datasets

    المؤلفون: Rakesh David, Rhiannon Schilling, Glenn McDonald

    مصطلحات موضوعية: Agricultural land management, Agronomy, Machine learning not elsewhere classified, Roseworthy paddocks, Machine Learning, EM38, crop yield

    Relation: https://figshare.com/articles/dataset/Machine_learning_to_extract_maximum_value_from_soil_and_crop_variability_Raw_datasets/19158698

    الاتاحة: https://doi.org/10.25909/19158698.v2

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  7. 7
    Identifying the genetic control of salinity tolerance in the bread wheat landrace Mocho de Espiga Branca - data

    المؤلفون: chana Borjigin, Rhiannon Schilling, Nathaniel Jewell, Chris Brien, Juan Carlos Sanchez, Paul Eckermann, Nathan Watson-Haigh, Bettina Berger, Allison Pearson, Stuart Roy

    مصطلحات موضوعية: Crop and pasture biochemistry and physiology, Plant physiology, Plant biology not elsewhere classified, genotypic data, marker data, phenotypic data, Plant Biology

    Relation: https://figshare.com/articles/dataset/Identifying_the_genetic_control_of_salinity_tolerance_in_the_bread_wheat_landrace_Mocho_de_Espiga_Branca_-_data/14159054

    الاتاحة: https://doi.org/10.25909/14159054
    https://figshare.com/articles/dataset/Identifying_the_genetic_control_of_salinity_tolerance_in_the_bread_wheat_landrace_Mocho_de_Espiga_Branca_-_data/14159054

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  8. 8
    University of Adelaide National Sodic field trial reference dataset for GRDC Machine Learning Project- UOA2002-007RTX.

    المؤلفون: Rakesh David, Rhiannon Schilling

    مصطلحات موضوعية: Agronomy, Crop and pasture improvement (incl. selection and breeding), SODIC SOILS, Field trial data, Wheat

    Relation: https://figshare.com/articles/dataset/University_of_Adelaide_National_Sodic_field_trial_reference_dataset_for_GRDC_Machine_Learning_Project-_UOA2002-007RTX_/19246104

    الاتاحة: https://doi.org/10.25909/19246104.v2
    https://figshare.com/articles/dataset/University_of_Adelaide_National_Sodic_field_trial_reference_dataset_for_GRDC_Machine_Learning_Project-_UOA2002-007RTX_/19246104

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  9. 9
    University of Adelaide National Sodic field trial reference dataset for GRDC Machine Learning Project- UOA2002-007RTX.

    المؤلفون: Rakesh David, Rhiannon Schilling

    مصطلحات موضوعية: Agronomy, Crop and pasture improvement (incl. selection and breeding), SODIC SOILS, Field trial data, Wheat

    Relation: https://figshare.com/articles/dataset/University_of_Adelaide_National_Sodic_field_trial_reference_dataset_for_GRDC_Machine_Learning_Project-_UOA2002-007RTX_/19246104

    الاتاحة: https://doi.org/10.25909/19246104.v2
    https://figshare.com/articles/dataset/University_of_Adelaide_National_Sodic_field_trial_reference_dataset_for_GRDC_Machine_Learning_Project-_UOA2002-007RTX_/19246104

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  10. 10
    University of Adelaide National Sodic field trial reference dataset for GRDC Machine Learning Project- UOA2002-007RTX.

    المؤلفون: Rakesh David, Rhiannon Schilling

    مصطلحات موضوعية: Agronomy, Crop and pasture improvement (incl. selection and breeding), SODIC SOILS, Field trial data, Wheat

    Relation: https://figshare.com/articles/dataset/University_of_Adelaide_National_Sodic_field_trial_reference_dataset_for_GRDC_Machine_Learning_Project-_UOA2002-007RTX_/19246104

    الاتاحة: https://doi.org/10.25909/19246104.v2

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