Know your crop is struggling before the harvest is lost.
Solar-powered sensors in the soil measure moisture, temperature, plant food (NPK) and leaf wetness. A leaf camera looks for signs of pests and hunger. The system turns these readings into simple advice for the farmer and a regional picture for extension officers.
Illustrative readings
Animated illustration — not live telemetry.
Original illustration of a solar sensor stick. Not a photograph.
Original illustration of advice on a phone. Not a photograph.
The problem
Fewer South African households are farming, yields are stagnant in much of southern Africa, and smallholders often have little extension support to spot trouble early. Small problems then become lost crops.
One-off stress
A short dry or wet spell. Watch and re-check.
Chronic hotspot
The same plot keeps failing. Needs soil or water work.
Not enough evidence
Too few readings. Send someone to look.
The system produces leads for human follow-up, never certified determinations.
How it works
The AI roles
Provider and model names are intentionally left as “to be confirmed”: choose currently offered products and check each provider's documentation before naming them. AI outputs in this build are simulated to show the workflow. Any cost figure will be an estimate range, to be added once a pilot is scoped.
3D model: the farm helper
Status: STABLE
- Grey stick + green top: soil sensor and solar panel
- Blue box: leaf camera
- Dark slab: phone with advice
- Wireframe ball: the scoring “cloud”
- Orange figure: extension officer walking to the driest plot
Simplified for teaching. Drag to rotate, scroll or pinch to zoom.
WhatsApp assistant: demo
Farmers already use WhatsApp. This demo shows how the assistant tells a farmer which crop is under stress and what to do about it, and how the farmer can reply. Press Play demo, then answer the bot with the buttons or type a reply.
Research & evidence
Over half a million households in South Africa's former homelands disengaged from farming between 2011 and 2016, a loss of about one in five crop-farming households (Statistics South Africa, as reported below).
Rhodes University · links field abandonment to food insecurity.
Remote Sensing, 2024 · cropland declines in three former homeland areas, 1984–2022.
Nature Food, 2025 · satellite evidence of stagnant productivity.
Jàmbá, 2025 · pests, disease, climate and land degradation (focus: commercial farming).
Coverage: live weather
Real data from Open-Meteo, refreshed every 10 minutes. Stage labels are the company's own designation, not from the feed.
About
Company registration
| Legal entity | NEXORAMIND AI |
|---|---|
| Registration number | 2026/723513/07 |
| Entity type | Private company |
| Registration date | 9 September 2026 |
| Status | In business |
| Financial year end | March |
| Registered office | Gauteng, South Africa. Full address withheld for privacy. |
Company documents
Issued by the Companies and Intellectual Property Commission (CIPC). Personal details, addresses and reference numbers have been removed from these copies. Original documents can be shared with procurement officers on request.
Contact
info@nexoramindai.co.za
developers@nexoramindai.co.za
rfq@nexoramindai.co.za
quote@nexoramindai.co.za
finances@nexoramindai.co.za
farminingsolutions@nexoramindai.co.za
Director
Chantelle Palesa Malahlela
Director
“I grew up on a farm, and I know how quickly a dry spell, a pest or a hungry soil can undo a season of work. Too many smallholders find out only when the harvest is already lost. I started NexoraMind AI so that a farmer gets the warning early, in plain language, on the phone they already carry, with a person checking every recommendation. When a farmer can act two days sooner, a failed crop can become a harvest, and that changes food, income and what a family can plan for.”