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Soil-In.ai

Platform & API

One platform under every service.

Sensors, cameras, harvest logs and orders land in one place, with the same IDs, timestamps and zones. That is what makes the models work.

Architecture

  1. FieldSensors on Modbus / 4-20 mA, PoE cameras
  2. EdgeIndustrial controller (owns actuators), gateway with offline buffer, on-site AI inference
  3. DataTime-series store, image object store, event and label log
  4. ModelsYield, vision, demand and route models
  5. ActDashboards, alerts, set-point proposals, API

Planned API

The API is in design. The endpoints below are planned and will change before release.

Status: planned, not yet available

GET  /v1/sites/{site_id}/zones
GET  /v1/zones/{zone_id}/readings?metric=vpd&from=…&to=…
GET  /v1/cameras/{camera_id}/frames?date=…
GET  /v1/forecasts/yield?site_id=…&horizon=4w
POST /v1/events   { "type": "harvest", "row": "A-07", "kg": … }
GET  /v1/lots/{lot_id}/trace

Principles

Safety first

Controllers keep running and fall back to fixed schedules if the cloud or a sensor fails.

Open protocols

Modbus, MQTT and standard formats, so hardware is not locked to one vendor.

Data residency

Hosting region and security certifications: to come.

Want early API access?

Tell us what you would build. We are shaping the API with early partners.