CropVineyard · Sangiovese and MerlotStage: veraison · 1.4 ha · 52 rows
- Soil moisture
- 40–55 %
- Water stress
- moderate (CWSI ≤ 0.4)
- Satellite
- every 3 days
- Routine flight
- every morning at 06:30
AgriTech example, open field
A vineyard seen from above.
The satellite shows where to look, the survey drone confirms row by row, the irrigation drone goes only where it's needed. The Suite plans the flights and talks to the drones via API and WebSocket. Simulated data; one second is one minute.
With AI machine learning combines satellite, soil probes and weather, spots water stress row by row and forecasts when and how much to irrigate.
Loading the digital twin…
IoT weather station—
Irrigation pump—
Survey drone A1—
Irrigation drone I1—
Vineyard · simulated data · —
Average water stress——
Average vigor (NDVI)——
Soil moisture—average of the 4 probes
Water today——
Next flight——
Drone fleet
Telemetry via WebSocket, flight plans and results via API.
Plan a flight
Flight plan
The “by rule” missions were created by the Suite: from the satellite to the survey drone, from the survey to the irrigation drone.
Satellite analysis
- Last pass
- —
- Next
- —
10 m cells: they tell where to send the survey drone.
Soil and irrigation
The block's drip opens for widespread stress; for isolated hotspots the irrigation drone steps in, without watering the whole block.
Live integration · REST API and WebSocket
This is how the Suite talks to the drones and to satellite analysis: incoming telemetry, outgoing flight plans and commands, result maps.
Weather, next 48 h · simulated
Expected plan
Scheduled flights, satellite passes and drip irrigation expected by the rules, with the rain on its way.
What the connected vineyard does
Integrated drones via REST API and WebSocket: real-time telemetry, status, battery, survey results.
Flight plans scheduled by the Suite: routine surveys, on-demand flights, missions created by rules.
Satellite analysis to see where to look and where to irrigate, across the whole farm.
Survey drones with vigor and water stress maps row by row.
Irrigation drones that act only on stress hotspots.
IoT sensors: agro-weather station and soil probes read by Link, over MQTT or through the vendor's APIs; sector valves and rules that take forecast rain into account.