Webinar - Next-gen crop production analytics

Webinar – Next-gen crop production analytics

Field-based crop cut experiment data is a gold standard of ground truth data for crop analytics, yet it is time-consuming and challenging to scale over large areas. Satellite remote sensing-based estimates can cover a large area, yet their accuracy is…

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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 Jägermeyr (NASA Goddard Institute for Space Studies, The Earth Institute at Columbia University, and the Potsdam Institute for Climate…

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Webinar - Digital innovations in agricultural insurance

Webinar – Digital innovations in agricultural insurance

Agricultural insurance is an increasingly important safety net against production losses from weather and climate shocks. Index insurance using geospatial data and real-time analytics has been one of the most important (and popular!) research topics in our community. In this…

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Webinar - OpenSAFELY for sensitive agricultural data

Webinar – OpenSAFELY for sensitive agricultural data

In this webinar, a video of Ben Goldacre presenting an overview of OpenSAFELY is broadcasted. Then, Jon Massey and Jawoo Koo talk about the challenges in the agricultural domain that could be solved by an OpenSAFELY approach. Finally, Pythagoras Karampiperis…

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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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Webinar - Analytics: How collective data can be turned into actionable data driven agronomy insights

Webinar – Analytics: How collective data can be turned into actionable data driven agronomy insights

Traditionally, analytical-based agricultural decision-making relied on mathematical models that are not optimized for the complexity of agricultural systems with strong interactions across time and space. Newer data science approaches (e.g. data mining, AI, and geospatial statistics) can leverage newly available…

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Data Sharing in a Digital World - 2020 Convention session

Data Sharing in a Digital World – 2020 Convention session

This session examines the possibilities to encourage data sharing in the context of a digitally-dependent world of working. Speakers: -Hamed Alemohammad: Radiant Earth Foundation, Chief Data Scientist & Executive Director -Catherine Nakalembe: Department of Geographical Sciences, University of Maryland, Assistant…

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Closing the AI Gap - 2020 Convention session

Closing the AI Gap – 2020 Convention session

The gap between big tech research and ag research in AI means that some of the most interesting use cases for the future of food security have not been explored with this key technology. Here we profile what skills, actions,…

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Exploring the CGIAR digital strategy - 2020 Convention session

Exploring the CGIAR digital strategy – 2020 Convention session

The CGIAR has an emergent focus on digital and the role that it plays in research and agriculture. This session showcases findings from focus groups and looks at the trends in digital ag and strategy. We arejoined by regional experts…

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Digital dynamism & the data - 2020 Convention session

Digital dynamism & the data – 2020 Convention session

There is a pressing need for transparency and accountability in food systems – ensuring that they are sustainable for our planet and population. How do we operationalize sustainability aims and existing data to create trusted, timely, actionable and credible information…

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