Generalized Planetary Remote Sensing  - 2020 Convention session

Generalized Planetary Remote Sensing – 2020 Convention session

Numerous global challenges require a globally comprehensive observation of many variables simultaneously. Combining satellite imagery with machine learning presents an opportunity for assembling such observations. Current solutions require custom systems, extensive expert knowledge, access to imagery, and major computational resources…

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Next steps in socio-economic data interoperability - 2020 Convention session

Next steps in socio-economic data interoperability – 2020 Convention session

Speaker: -Gideon Kruseman: CIMMYT, Foresight and Ex-Ante Research Leader

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CGIAR Convention on #BigDataInAg Closes with Concert to 500 staple crops

CGIAR Convention on #BigDataInAg Closes with Concert to 500 staple crops

Inspired by the recent Barcelona Opera reopening, the closing ceremony of the online convention Digital Dynamism for Adaptive Food Systems, featured eclectic, vibrant musical performances played to a full house—of plants! The event was hosted by CGIAR, the world’s largest…

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Connecting ontologies and thesauri for Agrifood data annotation - 2020 Convention session

Connecting ontologies and thesauri for Agrifood data annotation – 2020 Convention session

This session broaches the topic of linking ontologies and thesauri to support the annotation of both data and publications. AGROVOC is a popular multi-lingual thesaurus with a wide coverage, mainly used in metadata of publications stored in repositories and databases…

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Welcome & Opening Keynote: Computational sustainability - 2020 Convention session

Welcome & Opening Keynote: Computational sustainability – 2020 Convention session

Welcome to the 2020 CGIAR Convention on Big Data in Agriculture – in a new & globally engaged virtual format! The International Center for Tropical Agriculture (CIAT) and the International Food Policy Research Institute (IFPRI) welcome you to this year’s…

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A conversation with digitally-enabled farmers - 2020 Convention session

A conversation with digitally-enabled farmers – 2020 Convention session

This session takes a deep dive into the needs, challenges, and opportunities that digitally-enabled farmers are experiencing as the COVID-19 crisis unfolds. Speakers: -Tracy Knapp: Common Good City Farm, Farm Manager -Shelli Brin: St Thomas Locally Grown Online Farmers Market,…

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2020 Inspire Challenge Finalist: Sustaining staple food with supply chain integrity

2020 Inspire Challenge Finalist: Sustaining staple food with supply chain integrity

Sustaining staple food with supply chain integrity | El-kanis and Partners, HarvestPlus, FMARD, Government of Akwa Ibom State Nigeria, Akwa Ibom State University, University of Uyo Nigeria & The New Fork The project plans to implement blockchain technology on the…

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2020 Inspire Challenge Finalist: Croppie – the PhotoCropping app

2020 Inspire Challenge Finalist: Croppie – the PhotoCropping app

Croppie – the PhotoCropping app| The Alliance of Bioversity International and CIAT, Producers Direct & IDEO.org Croppie will gamify real-time photo data collection from smallholders by incentivising PhotoCropping, i.e. taking and sharing photos of their crops, that generates primary data…

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2020 Inspire Challenge Finalist: Realtime Rice-fallow Intensification System (rRIS)

2020 Inspire Challenge Finalist: Realtime Rice-fallow Intensification System (rRIS)

Realtime Rice-fallow Intensification System (rRIS) | ICARDA, Vasudhaika, Indian Institute of Technology Kharagpur & ICAR rRis aims to enable the utilization of fallow land for crop diversification through a digital augmentation platform that uses multi-source satellite, geo/agro tagged in-situ data,…

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2020 Inspire Challenge Finalist: Rapid, Low-Cost Aflatoxin detection using AI

2020 Inspire Challenge Finalist: Rapid, Low-Cost Aflatoxin detection using AI

Rapid, Low-Cost Aflatoxin detection using AI | ICRISAT & Pure Scan AI This project seeks to improve an existing low-cost device for rapid aflatoxin detection in peanuts and maize using image processing under UV light. This would help lower the…

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