Africa Agriculture Watch by AKADEMIYA2063

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Don't sleep on Africa Agriculture Watch by AKADEMIYA2063! #AAgWa is a web-based platform that employs cutting-edge machine learning techniques and satellite data to predict agricultural production for 10 crops across nearly 50 African countries. These interventions support decision-making, monitoring, crisis management, and effective intervention planning at local community level. Harnessing and deploying AI and remote sensing provides opportunities to leverage innovative tools to fill the data gaps across Africa's agrifood systems in terms of quality, accessibility, and timeliness. The capabilities embedded in AI and remote sensing for tracking and measuring GHG emissions and other geo-biophysical parameters are crucial for well-informed #mitigation and #adaptation policies. Visit aagwa.org. AAgWa Country Forecasts: https://lnkd.in/eJ5hQUjy #CropForecasts #MachineLearning #RemoteSensing #MethaneEmissions Dr. Racine Ly

In 2024, millet production in Burkina Faso is projected to reach 1,237,889 metric tons (MT), indicating a 10% increase over 2023 production levels. The highest millet producers are expected to be Kossi (Boucle du Mouhoun), Soum (Sahel), Yatenga (Nord), Oudalan (Sahel), and Gourma (Est), with production levels estimated at 87,246 MT, 81,236 MT, 62,454 MT, 49,020 MT, and 48,559 MT. More: https://shorturl.at/2yGuP

Forecasts for Decision-Making! Harness cutting-edge predictive modeling technologies such as machine learning techniques to provide forecasts and reduce uncertainties in decision-making processes in African food production systems. Visit www.aagwa.org

Compared to 2023, the most significant sorghum production increases in Eritrea in 2024 are expected in districts such as Afabet (Semenawi Keyih Bahri), Foro (Semenawi Keyih Bahri), Sheib (Semenawi Keyih Bahri), Ghida'e (Semenawi Keyih Bahri) and Tsorena (Debub), with differences of 4,366 MT, 2,788 MT, 2,752 MT, 2,513 MT, and 1,982 MT, respectively. These correspond to changes of 84 %, 171 %, 166 %, 110 %, and 41 %, AAgWa Crop Production Forecasts Brief Series. Download the Brief for more: https://shorturl.at/ip6tU

The crop production forecast brief series by AKADEMIYA2063’s Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvest and yields for ten major crops across nearly 50 African countries. The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI-based) model applied to remotely sensed geo-biophysical data to produce estimates at pixel as well as administrative levels as early as the beginning of every growing season. Check out our latest predictions for Cassava, Groundnut, Maize, Millet, Rice & Sorghum in 12 African Countries. Access the Briefs: https://shorturl.at/xHDb1

Did You Know? Africa Agriculture Watch (AAgWa) is a web-based platform that combines remote sensing data and machine learning techniques for informed decision-making in African food production systems. Learn more: www.aagwa.org

AAgWa Crop Production Forecasts Brief Series: Mauritania – Maize In 2024, maize production in Mauritania is projected to reach 15,347 metric tons (MT), indicating a 15% increase over 2023 production levels. The highest maize producers are expected to be Sélibaby (Guidimaka), Boghé (Brakna), Kaédi (Gorgol), M'Bout (Gorgol), and Kobenni (Hodh el Gharbi). More: https://shorturl.at/WkW6R

In 2024, the highest sorghum producers in Ethiopia are expected to be Semen Gondar (Amhara), Misraq Harerge (Oromia), Mirab Hararghe (Oromia), North Shewa (Amhara), and Jimma (Oromia), with production levels estimated at 653,001 MT, 407,490 MT, 354,234 MT, 340,338 MT, and 248,314 MT, respectively. Conversely, lower production values are observed in Basketo (Southern Nations, Nationalities), Afder (Somali), Burji (Southern Nations, Nationalities), Jarar (Somali), and Afar Zone 4 (Afar), with production figures of 1,450 MT, 432 MT, 166 MT, 165 MT, and 164 MT, respectively. More: https://shorturl.at/xDLHf

The Africa Agriculture Watch by AKADEMIYA2063 platform employs cutting-edge machine learning and remotely sensed data to predict agricultural yields across Africa. By offering timely information on cropping activities, AAgWa supports effective crisis management and mitigation efforts, empowering farmers to make informed decisions. Learn more about the AAgWa benefits: www.aagwa.org