Crop Modeling community of practice
- From
-
Published on
30.10.20
- Impact Area

The Community of Practice on Crop Modeling is part of the CGIAR Platform for Big Data in Agriculture and encompasses a wide range of quantitative applications, based around the broad concept of parametrizing interactions within and among the main drivers of cropping systems.
These are namely: Genotype, Environment, Management and Socioeconomic factors (GEMS) to provide information and tools for decision support. The Community of Practice was formed in 2017 and is led by Wheat Physiologist Matthew Reynolds at the International Maize and Wheat Improvement Center (CIMMYT) in Texcoco, Mexico.
Related news
-
Bioflow gets smarter with new modules and cloud features
CGIAR Initiative on Breeding Resources19.05.25-
Big data
The development of Bioflow, CGIAR's open-source breeding analytics pipeline, funded by GIZ through C…
Read more -
-
AI sparks a new agricultural revolution in the Global South
Ojanji Wandera16.05.25-
Big data
On a sunny April morning in Nairobi, the United Nations compound buzzed with more than…
Read more -
-
Digital tools power a new era in farming: CGIAR champions innovation for resilient, inclusive agri-food systems
Ojanji Wandera15.05.25-
Big data
As the world faces mounting challenges from climate change, food insecurity, and soil degradation, s…
Read more -