Frank Ewert

Prof. Frank Ewert (2016) }}

Frank Ewert (born 1963) is a German agricultural scientist, Scientific Director of the Leibniz Centre for Agricultural Landscape Research (ZALF) and Professor of Crop Production at the University of Bonn.

His areas of expertise include crop science, production ecology, systems analysis, and plant growth modelling. His work focuses on sustainability and impact assessments of the influence of climate change on crop production systems, food security, and resource conservation. Provided by Wikipedia
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  1. 1
    Protocol for a systematic review of living labs in agricultural-related systems

    Protocol for a systematic review of living labs in agricultural-related systems by Maryam Yousefi, Frank Ewert

    Published 2023-10-01
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  2. 2
    Publisher Correction: The transformation of agriculture towards a silicon improved sustainable and resilient crop production

    Publisher Correction: The transformation of agriculture towards a silicon improved sustainable and resilient crop production by Jörg Schaller, Heidi Webber, Frank Ewert, Mathias Stein, Daniel Puppe

    Published 2024-12-01
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  3. 3
    Environmental and Management Factors Affecting Greenhouse Gas Fluxes From Soils in Mixed Crop–Livestock Systems: A Meta-Analysis

    Environmental and Management Factors Affecting Greenhouse Gas Fluxes From Soils in Mixed Crop–Livestock Systems: A Meta-Analysis by Albert Berdjour, Amit Kumar Srivastava, Safiétou Sanfo, Bocar Ahamadou, Frank Ewert, Thomas Gaiser

    Published 2025-01-01
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  4. 4
    Within-Field Temporal and Spatial Variability in Crop Productivity for Diverse Crops—A 30-Year Model-Based Assessment

    Within-Field Temporal and Spatial Variability in Crop Productivity for Diverse Crops—A 30-Year Model-Based Assessment by Ixchel Manuela Hernández-Ochoa, Thomas Gaiser, Kathrin Grahmann, Anna Maria Engels, Frank Ewert

    Published 2025-03-01
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  5. 5
    Publisher Correction: Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework

    Publisher Correction: Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework by Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser

    Published 2025-06-01
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  6. 6
    Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework

    Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework by Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser

    Published 2025-02-01
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  7. 7
    SAR-driven flood inventory and multi-factor ensemble susceptibility modelling using machine learning frameworks

    SAR-driven flood inventory and multi-factor ensemble susceptibility modelling using machine learning frameworks by Krishnagopal Halder, Anitabha Ghosh, Amit Kumar Srivastava, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser, Abu Reza Md. Towfiqul Islam, Edris Alam, Md Kamrul Islam

    Published 2024-12-01
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  8. 8
    Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations.

    Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations. by Holger Hoffmann, Gang Zhao, Senthold Asseng, Marco Bindi, Christian Biernath, Julie Constantin, Elsa Coucheney, Rene Dechow, Luca Doro, Henrik Eckersten, Thomas Gaiser, Balázs Grosz, Florian Heinlein, Belay T Kassie, Kurt-Christian Kersebaum, Christian Klein, Matthias Kuhnert, Elisabet Lewan, Marco Moriondo, Claas Nendel, Eckart Priesack, Helene Raynal, Pier P Roggero, Reimund P Rötter, Stefan Siebert, Xenia Specka, Fulu Tao, Edmar Teixeira, Giacomo Trombi, Daniel Wallach, Lutz Weihermüller, Jagadeesh Yeluripati, Frank Ewert

    Published 2016-01-01
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