Wooww!

In an interview, Senegalese presidential candidate Anta Babacar outlines how at least 12 opposition leaders have put their differences aside to fight the postponement of an election and the extension of President Macky Sall's mandate reut.rs/49tgR5y

📢New content now online: Unmanned aerial vehicle imagery prediction of sorghum leaf area index under water stress, seeding density, and nitrogen fertilization conditions in the Sahel doi.org/10.1002/agj2.2…

Ici, à l'aide de Google Earth Pro, je vais montrer comment 205 hectares de terres de l'aéroport LSS sont cédées , entraînant ainsi la destruction de la piste d'atterrissage de 2,5 km entre 2017 et 2023. Cette situation est très préoccupante et soulève de vives inquiétudes.

La vente rapide des terrains et le manque d'organisation dans la construction vont inévitablement causer des problèmes d'inondation dans la zone située à l'est de l'aéroport. C’est Irrespondable #kebatu

Après avoir mis de l’ordre ds la Presse, le transporteur, et les meuniers, je suis confiant que le gouvernement de Ousmane Sonko prendra des mesures pour mettre fin aux taux exorbitants des prêts bancaires et au coût élevé de la connexion internet. #senegalRek

An exciting update from the #EarthEngine #Python world: version 1.0.0 of 𝚎𝚊𝚛𝚝𝚑𝚎𝚗𝚐𝚒𝚗𝚎-𝚊𝚙𝚒 was released a few weeks ago! Big thanks to Kurt Schwehr, PhD & Nate Schmitz for all the work to justify the 1st major release! See all the details 🛰️🌎🐍👇 medium.com/google-earth/e…

A data-driven Earth observation-based planning could have saved hundreds of square kilometres of crops. click on the link. …rflow-servir.projects.earthengine.app/view/floodbake… 📢 USAIDSenegal , RTS SENEGAL SERVIR Global Collaborative 🌍 #innodation #googleearthengine

📢 PNUD Sénégal USAIDSenegal RTS SENEGAL , une planification basée sur les données d'observation de la Terre aurait pu sauver des centaines de km² de cultures. Voici les impacts des inondations à Bakel.

Les données indiquent une situation critique dès le 19 septembre et une planification adéquate aurait permis de réduire les pertes. RTS SENEGAL PNUD Sénégal USAIDSenegal

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Pour nourrir une planète en croissance, il faut une sélection plus intelligente,pas seulement plus de semences.Cultures virtuelles + données génétiques + IA = variétés résilientes.C’est ainsi qu’on rend la sécurité alimentaire réelle. #SécuritéAlimentaire #Breeding

To feed a growing planet, we need smarter breeding ,not just more seeds. Virtual crops + genetic data + AI = faster, climate-resilient varieties. That’s how we make food security real. #FoodSecurity #AI4Ag

we integrate AI-powered field phenotyping platforms to advance data-driven crop improvement. Through targeted digital agriculture training, we empower researchers and NARS to adopt scalable innovations for climate-resilient farming.#ISRA #CapacityBuilding #DigitalAgriculture

As a regional hub for digital agriculture, CERAAS_ISRA partners with universities to deliver hands-on training in drone-based field mapping, photogrammetry, and precision agriculture. By providing students with real-world digital tools, #DigitalAgriculture #CapacityBuilding #UAV

A heartfelt thank you to our partners, especially UC Davis, for their continued support and collaboration. Through this partnership, ISRA is strengthening the capacity of young in digital agriculture while promoting the transfer of advanced technologies to developing countries

This is what crop improvement looks like on the ground. we are conducting vital field phenotyping for rice and wheat, using mobile tech to gather data on key traits. This work is critical for developing resilient crops to feed the world. #Agriculture #Phenotyping #AgriTech

In the heart of ISRA sorghum fields, our diverse team of researchers, technicians, and partners stands united. We’re advancing digital agriculture with real impact:UAV-based data collection; AI-powered phenotyping. Strong collaboration across institutions #DigitalAgriculture

Thank you to 🇧🇿 Belize GEO 🛰️, for acknowledging our geospatial deep learning work started in 2020 at the SERVIR TensorFlow Technical Exchange. #GEE #geoAI #SatelliteDeeplearning

🌡️ In the peanut fields testing a mobile thermal device for high-throughput disease screening. 📸 Detect stress before it’s visible. ⚡ Screen hundreds of plots in minutes. 🌱 Speed up delivery of resilient crops to farmers. From pixels to peanuts → impact. 💡👩🏾‍🌾 #AgTech