The Community of Practice on Crop Modeling (CoPCM) 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 system.
The CM-CoP formed in 2017 and is led by Wheat Physiologist Matthew Reynolds at the International Maize and Wheat Improvement Center (CIMMYT) in El Batán, Mexico.
This space can be used as a discussion area, share and request relevant information and contribute towards building the community as a whole.
Crop modeling science encompasses a wide range of quantitative applications based on 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.
By promoting FAIR (Findable, Accessible, Interoperable, Reusable) data principles, the CM-CoP fosters a culture that values GEMS data and enables its members to solve global grand challenges faster, better and at greater scale.
The CM-CoP has a virtual meeting space where crop modeling enthusiasts and specialists from 15 CGIAR Centers and other industry organizations can share ideas and resources, find collaborators and co-authors and participate in relevant discussions.
Engage with the Community
Tune in to the latest CoP updates by subscribing to our newsletter.
Interact with community members through our LinkedIn Group.
The Crop Modeling CoP hosts a series of different short-life working groups and projects where the real work of the community takes place.
The aim of this group is to increase visibility and accessibility of crop modeling research activities through the publication of peer-review papers of interest and highlighting the last crop modeling research outcomes of interest to the crop modeling community. This group is currently working in the elaboration of 4 reviews that will showcase on-going modeling activities and potential impacts from CGIAR and partners among the main drivers of cropping systems:
Breeding (G Group) | Environment (E Group) |Crop Management (M group) | Policy and Socio-Economic (S group)
The Crop Model CoP is in a unique position to convene a global consortium to address technology gaps that may otherwise slow the adoption or reduce impacts of recent investments in crop improvement. To identify these gaps, the CMGap group is conducting a wide gap analysis of modeling approaches and capabilities within the CGIAR centers and main partners to determine strengths, weaknesses, opportunities and needs in terms of modeling capacity and expertize.
CM Outreach Group
Increasing visibility and accessibility of crop research data is a key point to improve the global coordination of crop modeling efforts in agricultural research. The CM Outreach working group aims to accelerate dissemination of new crop information and technologies, share crop modeling skills, outcomes, opportunities, impacts and to promote FAIR (Findable, Accessible, Interoperable and Re-usable) crop research data.
Interested in contributing to our working groups?
Webinars and presentations
- Community of Practice on Crop Modeling Newsletter 7: November 2020
- Community of Practice on Crop Modeling Newsletter 6: October 2020
- Community of Practice on Crop Modeling Newsletter 5: June 2020
- Community of Practice on Crop Modeling Newsletter 4: March 2020
- Community of Practice on Crop Modeling Newsletter 3: January 2020
- Community of Practice on Crop Modeling Newsletter 2: May 2019
- Community of Practice on Crop Modeling Newsletter 1: September 2018
Crop Modeling publications
The Community of Practice on Crop Modeling has compiled a list of relevant Crop Modeling literature published in the last 5 years. Links to the original papers can be found in each reference.