soil_moisture
34%
Sensors at 10 · 30 · 60 cm depths, weather stations and the D.N.A. AI agronomist read moisture, temperature, pH and NPK in real time. Irrigate, fertilize and react to anomalies by data — not by feel.
DEMO Field #4 · corn moisture 34% D.N.A.: irrigate 15 mm 3D demo →Every 15 minutes the sensors capture dozens of readings. The edge gateway buffers them offline, encrypts and ships them to the cloud, where the AI agronomist finds anomalies and advises what to do.
Moisture at 3 depths, t°, pH, NPK, EC + weather station. LoRaWAN.
Collection, offline buffer, DCP encryption, 4G backhaul. Works with no network.
8 agronomy tasks: anomalies, irrigation, fertilization, stress, forecast.
Recommendations + notifications via Telegram, email and the agronomist's phone.
The platform covers the full cycle — from a raw sensor reading to a ready recommendation and a per-hectare invoice.
Moisture, temperature, pH, NPK, EC — live, with history and trends for every field.
D.N.A. spots crop stress and deviations before the eye can — and explains the cause instantly.
Watering advice that factors in real weather (open-meteo) and evapotranspiration.
The AI computes nitrogen, phosphorus, potassium needs for the crop and growth stage.
Moisture spread across the field's sensors — see dry zones before the crop suffers.
Farm coordinates and owner contacts are encrypted — 9 layers, zero-knowledge.
Field kit: soil nodes, a weather station and a gateway. Autonomous solar power, LoRaWAN and an offline buffer.
Specifications are given per the kit technical specification.
The mobile app shows current readings, the moisture map, history and a ready AI recommendation. One tap — irrigation is scheduled.
Demo version · sample data
LoRaWAN probes into the soil and a weather station in the field. One edge gateway covers the whole farm.
Readings are automatically buffered, encrypted and land in the platform — even on a poor connection.
Get alerts and recommendations in the app, admin panel and messenger. Manage several farms from one account.
We'll show the platform on your field — from installing sensors to the first AI recommendations.