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IoT Weather Stations & Irrigation

Micro weather stations with precision sensors, real-time cloud analytics, and automated irrigation control — complete mastery over your farm's microclimate and water management.

IoT micro weather station in agricultural field

Overview

Deploy a mesh network of solar-powered weather stations across your farm. Each station monitors 6 atmospheric and soil parameters every 30 seconds, feeding data to an AI irrigation engine that waters your crops with surgical precision.

Stations communicate via LoRa and WiFi 6, forming a self-healing mesh — if one node drops, data reroutes automatically. Integrated solar panels and supercapacitors mean no wiring, no battery replacements, and continuous operation even during 5 consecutive cloudy days.

The real-time sensor data feeds an AI decision engine that controls valves, drip lines, and sprinklers zone-by-zone, saving up to 60% water while boosting crop yields.

Sensor Suite

Six industrial-grade sensors in a compact, weatherproof enclosure — data sampled every 30 seconds:

🌡️

Temperature

High-precision thermistors sample ambient and soil temperature every 30 seconds with multi-point averaging.

Range: -40°C to +85°CAccuracy: ±0.1°C
💧

Humidity

Capacitive humidity sensors measure atmospheric moisture at canopy level for evapotranspiration modelling.

Range: 0–100% RHAccuracy: ±1.5% RH
🌧️

Rainfall

Self-cleaning tipping-bucket rain gauge tracks precipitation in real time for irrigation calibration.

Range: 0–500 mm/hrAccuracy: ±0.2 mm
☀️

UV & Solar Radiation

Broadband pyranometer measures PAR and UV index to predict crop growth rates.

Range: 0–2000 W/m²Accuracy: ±5 W/m²
💨

Wind Speed & Direction

Ultrasonic anemometer with no moving parts — maintenance-free wind and drift modelling.

Range: 0–60 m/sAccuracy: ±0.3 m/s
🌱

Soil Moisture

TDR probes at 10cm, 30cm, and 60cm depths map the complete root-zone moisture profile.

Range: 0–100% VWCAccuracy: ±2% VWC
Aerial view of smart farm irrigation

Smart Irrigation Workflow

From raw sensor data to precisely calibrated water delivery in five autonomous steps:

01

Sense

Stations monitor soil moisture, temperature, humidity, and rainfall to build a real-time field picture.

02

Analyse

Cloud AI combines sensor data with weather forecasts and crop growth models.

03

Decide

The system compares moisture levels against optimal thresholds per crop type and growth stage.

04

Irrigate

Automated valves deliver precisely calibrated water to each zone — drip, sprinkler, or pivot.

05

Verify

Post-irrigation sensors confirm targets were met. Any shortfall triggers a secondary micro-cycle.

IoT Network Architecture

A resilient mesh network that scales from one station to hundreds:

ProtocolLoRa + WiFi 6 Mesh
RangeUp to 15 km (LoRa)
Stations per GatewayUp to 200
Data IntervalEvery 30 seconds
Cloud SyncReal-time via 4G/WiFi
Offline Buffer30 days local storage
PowerSolar + supercapacitor
IP RatingIP68 — submersible

Live Dashboard

Monitor every station, every metric, every zone from anywhere:

AgroVerse Dashboard
🌡️28.4°CTemperature↗ +1.2°
💧67%Soil Moisture→ Optimal
💨12 km/hWind↘ -3.1
🌧️2.4 mmRainfall↗ Active
☀️UV 6UV Index→ Moderate
🚿Zone 3Irrigating↗ 12 min

Deploy Weather Intelligence

Start with a single station and scale to hundreds. We'll design a plan for your farm.

Request a Demo