SAGDAfrica/sagda
Synthetic Agriculture Data for Africa
Need more data to build or improve your farming models? This tool helps agricultural researchers and data scientists working on African agriculture. It generates new, realistic farming datasets—including climate, soil, and crop yield information—from basic parameters or real-world weather APIs. You can also use it to expand existing, smaller datasets or check how good your generated data is.
Use this if you need to create diverse and comprehensive agricultural datasets for African regions, especially when real-world data is scarce or incomplete.
Not ideal if your primary need is real-time farm management or sensor data aggregation rather than synthetic data generation and augmentation for research.
Stars
8
Forks
4
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SAGDAfrica/sagda"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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