PlantCare Enterprise supports a wide range of IoT environmental sensors to provide rich ambient context for our pathological AI diagnostics engine.

Soil Moisture Sensors

Measure volumetric water content in real-time. Tracking soil dry-out rates helps configure precision irrigation scheduling and flags pre-symptomatic root rot stress.

Luminosity & PAR Sensors

Perform spectral analysis for photosynthesis active radiation (PAR). Evaluates cumulative daily light integrals to optimize greenhouse shading screens or grow lamp cycles.

Ambient Context

Track air temperature and relative humidity with extreme precision. Calculating Vapor Pressure Deficit (VPD) helps predict microclimate-driven fungal outbreaks.

Custom Sensor Integration (BYOH)

If you already operate an established LoRaWAN, Cellular, or Zigbee agricultural network, you can provision and map your devices directly to our platform using the B2B IoT Device Management API.

GET /v1/iot/devices List registered IoT devices
POST /v1/iot/devices Provision new sensors/cameras
PATCH /v1/iot/devices/{id} Update spatial settings & metadata
DELETE /v1/iot/devices/{id} Decommission sensor fields

Why Environmental Context Matters?

While visual botanical diagnostics are highly effective, integrating micro-climate sensor data increases pathological model accuracy significantly:

  • Early Warning Cycles: Predicts potential powdery mildew or leaf blight outbreaks before visible lesions appear.
  • Irrigation Optimization: Dynamically maps soil water depletion rates to automate greenhouse drip zones.
  • Lighting Stress Diagnostics: Identifies photoperiod stress factors in vertical farming and indoor closed grows.
Explore API Documentation →