Crop Modeling

Community of Practice

 

Welcome!

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.

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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.

Get in touch

CoP Lead

Matthew Reynolds | Email
International Maize and Wheat Improvement Center (CIMMYT)  Texcoco, México

CoP Coordinator

Anabel Molero Milan | Email
Consultant at International Maize and Wheat Improvement Center (CIMMYT)

Twitter | Email 

Engage with the Community

i

BE INFORMED

Tune in to the latest CoP updates by subscribing to our newsletter.

w

ENGAGE

Interact with community members through our LinkedIn Group.

CONTRIBUTE

Share your expertise in our working groups.

Working Groups

The Crop Modeling CoP hosts a series of different short-life working groups and projects where the real work of the community takes place.

Peer-review Group

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)

CMGap

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?

Please select the group of interest:

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Community News

 

Webinar - Target Population of Environments (TPE) & beyond: Helping make better crop improvement practice

Webinar – Target Population of Environments (TPE) & beyond: Helping make better crop improvement practice

Webinar organized by the Crop Modeling Community of Practice of the CGIAR Platform for Big Data in Agriculture ...
Webinar - Secondary data for crop modeling: Filling data gaps under lockdowns

Webinar – Secondary data for crop modeling: Filling data gaps under lockdowns

Webinar organized by the Crop Modeling and Geospatial Data Communities of Practice of the CGIAR Platform for Big Data in ...
Webinar - WOFOST (WOrld FOod STudies): A simulation model for quantitative analysis of growth and production of annual field crops

Webinar – WOFOST (WOrld FOod STudies): A simulation model for quantitative analysis of growth and production of annual field crops

Webinar organized by the Crop Modeling Community of Practice of the CGIAR Platform for Big Data in Agriculture ...
Webinar - Overview, examples & applications of APSIM platform

Webinar – Overview, examples & applications of APSIM platform

Webinar organized by the Crop Modeling Community of Practice in collaboration with the Geospatial Community of Practice ...
Decreasing global crop modeling uncertainty with better geospatial data

Decreasing global crop modeling uncertainty with better geospatial data

A new publication from scientists at the International Maize and Wheat Improvement Center highlights the need to better constrain parameters ...
Digital warning system and coupling with crop model to boost wheat farmers’ resilience in Bangladesh and Brazil

Digital warning system and coupling with crop model to boost wheat farmers’ resilience in Bangladesh and Brazil

A new digital early warning system for wheat blast disease integrates mathematical models that, when combined with weather forecasts, can ...
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Resources

Documents

  • Work Plan 2018 – Detailed description of expected outcomes and deliverables for 2018
  • Work Plan 2019 – Detailed description of expected outcomes and deliverables for 2019
  • Work Plan 2020 – Detailed description of expected outcomes and deliverables for 2020

Webinars and presentations

Newsletter

Crop modelling 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.

Go to list (Google Doc) →

Events

[WEBINAR] FAIR Guidelines and Assessment in GARDIAN

June 25, 2019 – June 25, 2019 | Online

[WEBINAR] Semantic Annotation of Images in the FAIR Data Era

September 3, 2019 – September 3, 2019 | Online

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