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 Students at the UM6P College of Computing
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