CGIAR-CSI
@cgiarcsi
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CGIAR Consortium for Spatial Information 🗺️🛰️ (Header Credit: Chandrashekhar Biradar, ICARDA)
Joined July 2009
📡🐄A livestock census from the sky? Discover how #satellite imagery offers an innovative way to count cows in #SouthSudan. Register for @LD4D_Community session with Dan Smaranda of @FCDOGovUK #DataScience Hub. https://t.co/IbMNwdsKKi
#livestock #data #census #Africa
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Finally, the #GAEZ4 is here! 👏
Agricultural productivity needs to increase 70 % by 2050 to meet the increasing food demand. The new #GAEZ4 developed by @FAO & @IIASAVienna helps assessing agricultural resources risks & potentials in support to #SDGs. Join GAEZ4 launch on 17 June 21 👇 https://t.co/dX6Nne52pS
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Innovations in ODK: Improving Data Collection for Agriculture and Scaling to the Global Community
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📢💡 #CGIARWebinar | Innovations in Open Data Kit (ODK): Improving Data Collection for Agriculture and Scaling to the Global Community. 📅 December 3, 2020 ⏰ 09:00 AM EST | 3:00 PM CET (UTC+1) 👉 Register at https://t.co/OBT8Z2Faba
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Monitoring Croplands using Remote Sensing, Ground Data & Machine Learning Algorithms https://t.co/tqoaSnNaRn
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Announcing the CG Labs Datathon: Analyze Climate Change Data using R/Python (and Win Prizes!)
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Mapping Global Cropland Connectivity for Managing Crop Pest and Disease Risks
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Spatially-Disaggregated Crop Production Statistics Data in Sub-Saharan Africa for 2017
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CHIR Explorer: An Online Tool for Assessing Dry and Wet Conditions
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Mapping Rice Yields using Synthetic Aperture Radar (SAR) and the ORYZA Model https://t.co/cO0myVTijV
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Mapping Synchronous Crop Failures and Climate-forced Production Variability https://t.co/rDc3PG57EW
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