World's Best Scientists 2026 revealed!
Davide Cammarano

Davide Cammarano

D-Index & Metrics

Plant Science and Agronomy

D-Index
49
Citations
11644
World Ranking
2223
National Ranking
20

Overview

Davide Cammarano is affiliated with Aarhus University in Denmark and specializes in research within the fields of Agricultural and Biological Sciences and Environmental Science. Their work spans various subfields including Plant Science, Agronomy and Crop Science, Ecology, and Environmental Engineering.

Their recent publications address key topics such as crop yield and soil fertility, climate change impacts on agriculture, remote sensing in agriculture, wheat and barley genetics and pathology, plant responses to elevated CO2, greenhouse technology and climate control, and rice cultivation and yield improvement.

  • Processing tomato production is expected to decrease by 2050 due to the projected increase in temperature (2022), published in Nature Food
  • Impact of climate change on water and nitrogen use efficiencies of processing tomato cultivated in Italy (2020), published in Agricultural Water Management

Frequent co-authors with whom Cammarano has collaborated include:

  • Yan Zhu
  • Gerrit Hoogenboom
  • Pierre Martre
  • Jørgen E. Olesen
  • Domenico Ronga

Cammarano has contributed extensively to several publication venues where they have a pattern of frequent appearance. These journals include:

  • Computers and Electronics in Agriculture
  • Precision Agriculture
  • Italian Journal of Agronomy
  • European Journal of Agronomy
  • Nature Food

Aside from journal articles, Cammarano has authored books published by Springer International Publishing, notably "Precision Agriculture: Modelling" in 2023, which has accumulated citations in the scholarly community.

Overall, the scientist's research integrates advanced methodologies such as remote sensing and machine learning to evaluate and predict agricultural outcomes, often focusing on the impact of changing environmental conditions such as climate change on crop production efficiencies.

Best Publications

  • Rising Temperatures Reduce Global Wheat Production

    S. Asseng;F. Ewert;P. Martre;P. Martre;R. P. Rötter

  • Uncertainty in Simulating Wheat Yields Under Climate Change

    S. Asseng;F. Ewert;C. Rosenzweig;J. W. Jones

  • Similar estimates of temperature impacts on global wheat yield by three independent methods

    Bing Liu;Bing Liu;Senthold Asseng;Christoph Müller;Frank Ewert

  • Multimodel ensembles of wheat growth: many models are better than one

    Pierre Martre;Pierre Martre;Daniel Wallach;Senthold Asseng;Frank Ewert

  • Climate change impact and adaptation for wheat protein

    Senthold Asseng;Pierre Martre;Andrea Maiorano;Reimund P Rötter

  • The uncertainty of crop yield projections is reduced by improved temperature response functions.

    Enli Wang;Pierre Martre;Zhigan Zhao;Zhigan Zhao;Frank Ewert

  • Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments.

    Fulu Tao;Reimund P. Rötter;Taru Palosuo;Carlos Gregorio Hernández Díaz‐Ambrona

  • Environmental and economic benefits of variable rate nitrogen fertilization in a nitrate vulnerable zone

    Bruno Basso;Benjamin Dumont;Davide Cammarano;Andrea Pezzuolo

  • A strategic and tactical management approach to select optimal N fertilizer rates for wheat in a spatially variable field

    Bruno Basso;Bruno Basso;Bruno Basso;Joe T. Ritchie;Davide Cammarano;Luigi Sartori

  • Global wheat production with 1.5 and 2.0°C above pre-industrial warming

    Bing Liu;Pierre Martre;Frank Ewert;John R. Porter;John R. Porter;John R. Porter

  • Multimodel ensembles improve predictions of crop-environment-management interactions.

    Daniel Wallach;Pierre Martre;Bing Liu;Bing Liu;Senthold Asseng

  • Temperature and Precipitation Effects on Wheat Yield Across a European Transect: a Crop Model Ensemble Analysis Using Impact Response Surfaces

    N. Pirttioja;T. R. Carter;S. Fronzek;M. Bindi

  • Response of wheat growth, grain yield and water use to elevated CO2 under a Free‐Air CO2 Enrichment (FACE) experiment and modelling in a semi‐arid environment

    Garry J. O'Leary;Brendan Christy;James Nuttall;Neil Huth

  • Crop Model Improvement Reduces the Uncertainty of the Response to Temperature of Multi-Model Ensembles

    Andrea Maiorano;Pierre Martre;Senthold Asseng;Frank Ewert

  • Long-term wheat response to nitrogen in a rainfed Mediterranean environment: field data and simulation analysis.

    Bruno Basso;Davide Cammarano;Antonio Troccoli;Deli Chen

  • The impact of climate change on barley yield in the Mediterranean basin

    Davide Cammarano;Salvatore Ceccarelli;Stefania Grando;Ignacio Romagosa

  • Hot spots of wheat yield decline with rising temperatures

    Senthold Asseng;Davide Cammarano;Bruno Basso;Uran Chung

  • Variable rate nitrogen fertilizer response in wheat using remote sensing

    Bruno Basso;Costanza Fiorentino;Davide Cammarano;Urs Schulthess

  • Designing future barley ideotypes using a crop model ensemble

    Fulu Tao;Reimund P. Rötter;Taru Palosuo;C.G.H. Díaz-Ambrona

  • Potato, sweet potato, and yam models for climate change: A review

    Rubí Raymundo;Senthold Asseng;Davide Cammarano;Roberto Quiroz

  • Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment

    M. Ruiz-Ramos;R. Ferrise;A. Rodríguez;I. J. Lorite

Frequent Co-Authors

Bruno Basso
Bruno Basso Michigan State University
Senthold Asseng
Senthold Asseng Technical University of Munich
Frank Ewert
Frank Ewert University of Bonn
Reimund P. Rötter
Reimund P. Rötter University of Göttingen
Fulu Tao
Fulu Tao Chinese Academy of Sciences
Kurt Christian Kersebaum
Kurt Christian Kersebaum Czech Academy of Sciences
Alex C. Ruane
Alex C. Ruane Goddard Institute for Space Studies
Claas Nendel
Claas Nendel University of Potsdam
Pierre Martre
Pierre Martre INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Katharina Waha
Katharina Waha Commonwealth Scientific and Industrial Research Organisation

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