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Autor: Reynolds, Matthew P.

  • Autor: Kholová, Jana
  • Autor: Challinor, Andrew J.
  • Autor: Pequeno, Diego Notelo Luz
  • Autor: Ramírez Villegas, Julián Armando
  • Autor: Schulthess, Urs C.
  • Autor: Sonder, Kai
  • Autor: Xiong, Wei
  • Autor: Alexandrov, Nickolai
  • Autor: Bairagi, Subir
  • Autor: Crossa, José
  • Autor: Jones, Peter
  • Autor: Komarek, Adam M.
  • Autor: Koo, Jawoo
  • Autor: Krupnik, Timothy J.
  • Autor: Kruseman, Gideon K.
  • Autor: Nedumaran, Swamikannu
  • Autor: Petsakos, Athanasios
  • Autor: Vadez, Vincent
  • Autor: Babar, Md Ali
  • Autor: Balwinder-Singh, Poonia, S.
  • Autor: Crossa, Jose
  • Autor: Eeuwijk, Fred A. van
  • Autor: Eeuwijk, Fred van
  • Autor: Fernandes, Jose Mauricio
  • Autor: Ghanem, Michel E.
  • Autor: Ghanem, Michel Edmond
  • Autor: Grenier, Cécile
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  • Vista rápida
    Climate change impact on Mexico wheat production
  • Vista rápida
    Role of Modelling in International Crop Research: Overview and Some Case Studies
  • Vista rápida
    CoP on Crop Modeling Mini-Grants Report 2018
  • Vista rápida
    Plan for Sharing Crop Modeling expertise during 2019
  • Vista rápida
    Crop Modeling Gaps and Strengths within the CGIAR
  • Vista rápida
    CGIAR Platform for Big Data in Agriculture crop modeling community of practice mini-grants report 2019
  • Vista rápida
    CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
  • Vista rápida
    CGIAR Platform for Big Data in Agriculture. Crop Modeling Community of Practice Mini-Grants Report 2020

Autor: Asseng, Senthold

  • Autor: Kholová, Jana
  • Autor: Challinor, Andrew J.
  • Autor: Pequeno, Diego Notelo Luz
  • Autor: Ramírez Villegas, Julián Armando
  • Autor: Schulthess, Urs C.
  • Autor: Sonder, Kai
  • Autor: Xiong, Wei
  • Autor: Alexandrov, Nickolai
  • Autor: Bairagi, Subir
  • Autor: Crossa, José
  • Autor: Jones, Peter
  • Autor: Komarek, Adam M.
  • Autor: Koo, Jawoo
  • Autor: Krupnik, Timothy J.
  • Autor: Kruseman, Gideon K.
  • Autor: Nedumaran, Swamikannu
  • Autor: Petsakos, Athanasios
  • Autor: Vadez, Vincent
  • Autor: Babar, Md Ali
  • Autor: Balwinder-Singh, Poonia, S.
  • Autor: Crossa, Jose
  • Autor: Eeuwijk, Fred A. van
  • Autor: Eeuwijk, Fred van
  • Autor: Fernandes, Jose Mauricio
  • Autor: Ghanem, Michel E.
  • Autor: Ghanem, Michel Edmond
  • Autor: Grenier, Cécile
  • Mostrar ítemes como resultados de búsqueda
  • Explorar canales relacionados
  • Vista rápida
    Climate change impact on Mexico wheat production
  • Vista rápida
    CoP on Crop Modeling Mini-Grants Report 2018
  • Vista rápida
    CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
  • Vista rápida
    CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate

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    Climate impact and adaptation to heat and drought stress of regional and global wheat production
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    Adapting irrigated and rainfed wheat to climate change in semi-arid environments: Management, breeding options and land use change
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    Plan for Sharing Crop Modeling expertise during 2019
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    CGIAR Platform for Big Data in Agriculture. Crop Modeling Community of Practice Mini-Grants Report 2020
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    Different uncertainty distribution between high and low latitudes in modelling warming impacts on wheat
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    The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies
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    CoP on Crop Modeling Mini-Grants Report 2018
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    Climate change impact on global potato production
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    CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
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    Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world
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    Virtual crop modeling for technology impact assessment - lessons from a potato crop growth model
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    Integrating fundamental model uncertainty in policy analysis: A Bayesian averaging approach combining CGE-models with metamodeling techniques
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    Role of Modelling in International Crop Research: Overview and Some Case Studies
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    Baseline simulation for global wheat production with CIMMYTmega-environment specific cultivars
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    Virtual potato crop modeling: A comparison of genetic coefficients of the DSSAT-SUBSTOR potato model with breeding goals for developing countries
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    Predicting yields using crop simulation models and gridded weather data in India
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    Incorporating process-based crop simulation models into global economic analyses
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    Model use in WEF nexus analysis: A review of issues
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    Impact of climate change using CRAFT: a case study for West Africa
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    Climate change and agriculture in eastern and southern Africa: An updated assessment based on the latest global climate models
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    CGIAR Platform for Big Data in Agriculture crop modeling community of practice mini-grants report 2019
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    Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands
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    Uncertainty-based evaluation and comparison of SWAT and HSPF applications to the Illinois River Basin

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    Can we use Big Data to monitor SDGs 1&2?
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    Toward a digital One CGIAR: Strategic research on digital transformation in food, land, and water systems in a climate crisis
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    CGIAR Platform for Big Data in Agriculture. Crop Modeling Community of Practice Mini-Grants Report 2020
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    Overcoming challenges to digital agribusiness start-ups in developing countries
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    BIG DATA Crop Modeling Community of Practice – Work Plan 2019
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    BIG DATA Crop Modeling Community of Practice – Work Plan 2020
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    BIG DATA Crop Modeling Community of Practice – Work Plan 2018
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    Transformative potential of big data and technology
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    Seeing is believing
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    Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it
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    BIG DATA Data Driven Agronomy Community of Practice – Work Plan 2019
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    BIG DATA Geospatial Community of practice - Work Plan 2020
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    BIG DATA Data Driven Agronomy Community of Practice – Work Plan 2018
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    A method of deciding precision fertilization of rice based on spatio-temporal multi-modal knowledge graph of agriculture [in Chinese]
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    Digital Ecosystem for Rice Activity Monitoring and Reporting (RiceMoRe)
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    AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data
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    BIG DATA Socio Economic Community of Practice – Work Plan 2019
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    Big data analysis to understanding online songbird trade in Indonesia: What are the most traded species?
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    The 2017 CGIAR Inspire Challenge: Innovation strategies for digital agriculture
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