relative index Soil salinity risk
Where salt is most likely accumulating in irrigated soil — the eco-flagship layer.
Satellite + AI for sustainable land
An invisible crisis under Uzbekistan's fields.
Soil salinity, land degradation and wasted water — the unfinished legacy of the Aral. Agronium makes it visible, from open satellite data and AI.
The crisis
The Aral's unfinished legacy
Central Asia's drying Aral Sea left behind salt-laden winds and over-stretched rivers. In the Hungry Steppe of Syrdarya, irrigation keeps the fields alive — but salt rises through the soil, land degrades, and water runs short. The damage is gradual, uneven, and mostly invisible from the ground.
90%
of Uzbekistan's freshwater used by agriculture
31,232
ha of cropland at high relative salinity risk — Syrdarya satellite screening
17,551
ha flagged as degrading land — SDG 15.3.1 screening
Areas are relative-index screening figures from open satellite rasters over Syrdarya — not lab measurements.
How it works
From orbit to the field, in three steps
01
Satellite
Open imagery — Sentinel-2 (optical), Sentinel-1 (radar) and MODIS — captures every field, every season, for free.
02
AI
Satellite-AI analysis turns the raw bands into clear, relative indicators of soil, water and crop condition.
03
Maps
Results become layers you can read by field and district — on an interactive dashboard, in your language.
What it shows
Five ways to read the land
Every layer is a relative screening index from open satellite data — not a lab measurement and not a model prediction.
relative index 
relative index Land degradation
Improving, stable or degrading land, aligned to UN SDG 15.3.1.
relative index Water productivity
‘Crop per drop’ — relative biomass per unit of water. SDG 6.4.1.
relative index Crop water stress
Where crops show relative signs of water shortage during the season.
relative index Crop vigor
Relative peak-season greenness — a productivity proxy, not a yield figure.
An interactive map of the land
Draw any area for instant relative-index stats, rank districts, and find the worst salinity hotspots — all in your browser, on real satellite data.
Live demoWhy it matters
Measuring what we must reverse
You can't fix what you can't see. Agronium turns open satellite data into a standing measure of land degradation and water loss — a foundation for restoring soil and saving water across a drying region.
SDG 15.3.1
Land Degradation Neutrality — degraded vs. improving land.
SDG 6.4.1
Water-use efficiency — more crop per drop.
Live demo
An interactive map of the land
Draw any area for instant relative-index stats, rank districts, and find the worst salinity hotspots — all in your browser, on real satellite data.
- Draw-an-area stats
- District ranking
- Salinity hotspots
Open the live map Live link coming soon
See it live at our stand
agronium.uz · dashboard
Real screenshots of the live Agronium dashboard — fully interactive at our stand.
Built to be trusted
Open data. Honest indicators. Proven base.
Agronium runs entirely on open satellite data and the satellite-ML platform Morfo Labs already proved with Mineralium. It is a working prototype: satellite screening with relative indicators, not lab measurement — and it does not claim a trained per-field yield model.
- Open data only — Sentinel, MODIS and public datasets.
- Relative screening indicators, honestly labeled.
- Regional scale (oblast / district), not per-field claims.
- A roadmap to field calibration with ground samples.
Who we are
Morfo Labs
A Tashkent-based AI lab and resident of IT Park Uzbekistan, building satellite and machine-learning platforms for the region's natural resources — minerals (Mineralium), water (Aquanium) and now sustainable agriculture (Agronium).
morfolabs.uz ↗