Synthetic Agriculture Data for Africa

Bridging Africa’s Agricultural Data Gaps with Synthetic Data Solutions

SAGDA (Synthetic Agriculture Data for Africa) is an open-source initiative designed to address the data scarcity challenges in African agriculture. By leveraging advanced data science techniques, SAGDA provides tools for generating, augmenting, and validating synthetic agricultural datasets, covering key variables such as climate, soil properties, crop yields, and fertilizer use. These synthetic datasets enable researchers, policymakers, and agribusinesses to simulate realistic agricultural conditions, supporting data-driven decisions and innovation in the field.

An Initiative by Researchers and Students at the UM6P College of Computing

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SAGDA Africa
Open-Source Agriculture Data
Synthetic Agricultural Data
Precision Agriculture in Africa
Data Augmentation for Agriculture
Crop Yield Prediction
NPK Fertilizer Optimization
Machine Learning in Agriculture
Climate Data for Agriculture
Soil Data Generation
Agriculture Data Simulation
Synthetic Data for African Agriculture
AI in African Farming
Sustainable Agriculture Technology
Agricultural Data Science
Open Science for Agriculture
Food Security and Technology
Digital Agriculture Solutions
Big Data in Agriculture
Agritech Innovation in Africa
African Food Security Solutions
Sustainable Farming Practices
Data-Driven Agriculture
Precision Agriculture
UM6P College of Computing
UM6P College of Agriculture and Environmental Sciences
AgroBioSciences program

Contact

We’re here to help with any questions or inquiries regarding SAGDA. Feel free to get in touch with us through the following channels.

UM6P, Lot 660, Hay Moulay Rachid
Ben Guerir, 43150, Morocco