Key Sensor Metrics

Our IoT sensors continuously measure critical parameters to provide a complete picture of outdoor and remote environments.

Temperature
Air temperature monitoring supports climate analysis, asset protection, and operational planning in outdoor locations.

Surface Temperature
Surface temperature provides insight into ground, road, or structural conditions and helps identify heat stress, freezing risk, or abnormal behavior.

Soil Temperature
Soil temperature affects plant growth, soil processes, and moisture behavior. Monitoring soil temperature supports agricultural, environmental, and land management applications.

Radiant Temperature
Radiant temperature reflects heat emitted from surrounding surfaces. This metric is important for understanding thermal stress and microclimate conditions.

Turbidity
Turbidity monitoring indicates the presence of suspended particles in surface water. This supports water quality monitoring in rivers, lakes, and remote water bodies.

Humidity
Humidity influences evaporation, condensation, and overall environmental comfort. Continuous monitoring helps assess weather conditions and environmental stability.

Dew Point Temperature
Dew point temperature indicates when moisture may condense or freeze. Monitoring dew point supports early detection of frost, condensation, or icing risk.

Soil Moisture
Soil moisture measurements provide insight into water availability in the ground. This supports irrigation control, environmental monitoring, and land use management.

Continuous Insight Beyond Physical Boundaries

By monitoring temperature, moisture, and environmental conditions remotely, organizations gain full visibility into outdoor assets and environments. This enables proactive management, improved efficiency, and greater operational resilience.

Key Benefits

Reliable Monitoring in Remote Locations
Real time data reduces the need for frequent site visits and manual inspections.

Early Detection of Environmental Changes
Continuous monitoring enables rapid identification of abnormal or critical conditions.

Improved Resource Management
Accurate data supports efficient use of water, land, and energy resources.

Reduced Operational Costs
Remote visibility minimizes travel, labor, and maintenance expenses.

Increased Safety
Monitoring reduces the need for personnel to access hazardous or hard to reach locations.

Data Driven Decision Making
Historical and real time data support planning, forecasting, and long term optimization.