Webinar - Potential climate related impacts on future wheat and maize yields

Webinar – Potential climate related impacts on future wheat and maize yields

In this webinar by the Crop Modeling Community of Practice of the CGIAR Platform for Big Data in Agriculture, panelist Jonas J√§germeyr (NASA Goddard Institute for Space Studies, The Earth Institute at Columbia University, and the Potsdam Institute for Climate…

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Modeling with 40 years of international wheat data

Modeling with 40 years of international wheat data

This webinar by the CGIAR Platform for Big Data in Agriculture Crop Modeling Community of Practice will present selected outputs from big data analysis of four decades of international wheat yield data. The session features three panelists with the following…

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CGIAR Data Science Showcase Part 1 - 2020 Convention session

CGIAR Data Science Showcase Part 1 – 2020 Convention session

This plenary showcases agricultural data science applications from CGIAR researchers and discuss how best their work can be supported by the Platform and partners. Speakers: -Jawoo Koo: Senior Research Fellow, IFPRI, CoP: Geospatial Data, CGIAR Platform for Big Data in…

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Gridded crop modeling advances & challenges - 2020 Convention session

Gridded crop modeling advances & challenges – 2020 Convention session

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…

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Machine Learning and Crop Modeling: A Modern Affair? - 2020 Convention session

Machine Learning and Crop Modeling: A Modern Affair? – 2020 Convention session

Several efforts have been developed recently to integrate (deep) Machine Learning (ML) algorithms into crop models to result in better predictions and inform adaptation strategies. In this session our speakers present the current work they are developing to link training…

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Disease Crop Modeling Advances & Challenges for Large-Scale Simulation - 2020 CoP Convention session

Disease Crop Modeling Advances & Challenges for Large-Scale Simulation – 2020 CoP Convention session

Crop pests and diseases assessing and monitoring are important aspects of agricultural systems to consider for assuring food security in many parts of the world. Multidisciplinary approaches such as crop growth modeling integration with pests and disease modeling have advanced…

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Phenotyping & Remote Sensing to Facilitate Min. Data Set Requirements - 2020 CoP Convention Session

Phenotyping & Remote Sensing to Facilitate Min. Data Set Requirements – 2020 CoP Convention Session

Crop models can require extensive and/or intensive data sets to drive simulations as well as for calibration purposes. While some of the information is straightforward, such as agronomic performance traits (e.g. yield, phenology) as well as weather data, other types…

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