2020 Convention session – Gridded crop modeling advances & challenges
This session on gridded crop modeling advances and challenges aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
Several efforts have been developed to integrate point-based crop models with Geographic Information Systems (GIS) input data to study crop growth and development at a spatial level. Due to the complexity of data variability representation and accuracy over space and time, many crop modeling groups have developed tools to run gridded crop simulation models. In this session we present some of those approaches, including concepts of GIS data requirements, examples of crop modeling studies using spatial level data and processing of simulation outputs.
- Jawoo Koo: Senior Research Fellow, IFPRI
- Christoph Müller: Potsdam Institute for Climate Impact Research & Co-lead of Ag-GRID initiative of the AgMIP, Working Group Leader
- Diego Pequeno: CIMMYT, Wheat Crop Modeler -Matthew Reynolds: CIMMYT, Crop Physiologist
- Anabel Molero: CGIAR Platform for Big Data in Agriculture Community of Practice on Crop Modeling
November 10, 2020
CGIAR Platform for Big Data in Agriculture