Oumnia Ennaji
@omniaennaji.bsky.social
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AI researcher | PhD in Machine Learning for Sustainable Agriculture 🌾 | AgMIP Machine Learning Team
I'm pleased to share that our paper has been published in Earth System Science Data (ESSD). I am grateful to my incredible co-authors and collaborators for their contributions throughout the project.
essd.copernicus.org/articles/18/...
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CY-Bench: a comprehensive benchmark dataset for sub-national crop yield forecasting
Abstract. In-season, pre-harvest crop yield forecasts are essential for enhancing transparency in commodity markets and improving food security. They play a key role in increasing resilience to climat...
https://essd.copernicus.org/articles/18/3997/2026/#section1
about 1 month ago
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reposted by
Oumnia Ennaji
AGU (American Geophysical Union)
4 months ago
🌍 D.C. Climate Week is approaching! Join AGU at our net-zero headquarters in Washington, D.C. on Thursday, 23 April for an in-person event. ✨ Come ready to learn, connect, and interact 🥗 Lunch is provided 🎟️ FREE registration Space is limited! Reserve your spot today:
buff.ly/eYxV4F6
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AGU is officially underway today! We’re pleased to share our Poster presentation entitled: “Machine Learning-Based Optimization of Site-Specific Fertilizer Recommendation.” 🔗 View the poster here:
agu25.ipostersessions.com/default.aspx...
Happy to connect and discuss the work with the community.
7 months ago
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🎓✨ I’m excited to share that I have successfully defended my PhD! Grateful for everyone who supported this journey. I’m now exploring new research and industry opportunities in AI, agriculture, and sustainability. Let’s connect if my work aligns with yours! 🌍🌱
8 months ago
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Just wrapped up the AgML workshop at the Helmholtz-Zentrum für Umweltforschung UFZ in Leipzig! 🌱 Proud to have been part of the organizing committee this year inspiring discussions and amazing people pushing ML in agriculture forward.
#AgML
#UFZ
#Leipzig
#AIinAg
8 months ago
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Check our latest work on how Synthetic Agriculture Data Could Solve Africa’s Precision Farming Problem
sesitechnologies.com/how-syntheti...
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How Synthetic Agriculture Data Could Solve Africa’s Precision Farming Problem - Sesi Technologies
A new open-source toolkit called SAGDA could help solve Africa’s agricultural data shortage. Here’s why it matters for tools like FarmSense.
https://sesitechnologies.com/how-synthetic-agriculture-data-could-solve-africas-precision-farming-problem/
12 months ago
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🌾 Exciting news! The 2nd AgML Workshop will take place at UFZ Leipzig, Germany, on Nov 3–5, 2025. 🔗 Registration is now open until July 31 (In-person participants will be selected based on their profile and interest, online participation is open to all:
events.hifis.net/event/2763/
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about 1 year ago
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reposted by
Oumnia Ennaji
Lily-belle Sweet
about 1 year ago
📢 Today at 16:00 CET: Vasileios Sitokonstantinou presents research on invariant (causal) learning for robust yield predictions, kicking off our monthly seminar series on AI for agricultural research & modelling. Reach out for Zoom link, mailing list members will receive it by email. See you there!
add a skeleton here at some point
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🌱New paper Alert!
www.sciencedirect.com/science/arti...
over 1 year ago
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reposted by
Oumnia Ennaji
Monique Oliveira
over 1 year ago
Also had a great time meeting the AgML people at CIMMYT for
#AgMIP10
! Great team that will hopefully expand after meeting so many people and different problems at the event for
@agmip.bsky.social
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Presented my work at the
#AgMIP10
meeting this month at CIMMYT El Batán. Grateful to see the AgML team again, enjoy the conversations, and meet the people behind the models. Lots to process, but it’s always good to be reminded that there’s a community deeply invested in agriculture and climate.
over 1 year ago
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New preprint alert! Pre-harvest crop yield forecasting is key for food security & climate resilience, but comparing models has been a challenge—until now! 🌾 CY-Bench: A comprehensive benchmark dataset for sub-national crop yield forecasting. 🔗 Read more:
essd.copernicus.org/preprints/es...
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CY-Bench: A comprehensive benchmark dataset for sub-national crop yield forecasting
Abstract. In-season, pre-harvest crop yield forecasts are essential for enhancing transparency in commodity markets and improving food security. They play a key role in increasing resilience to climat...
https://essd.copernicus.org/preprints/essd-2025-83/
over 1 year ago
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Celebrating the International Day of Women and Girls in Science for their groundbreaking contributions to science and innovation! In Morocco, women are paving the way in agriculture, academia, and technology, blending tradition with modernity to shape a brighter future. 🌍🌱 🇲🇦
over 1 year ago
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Check out our latest dataset 🌾 CY-Bench: A comprehensive benchmark dataset for subnational crop yield forecasting
research.wur.nl/en/datasets/..
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over 1 year ago
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