WSC2-L LoRaWAN® Weather Monitoring for Real-Time Microclimate Data and Environmental Research

icon

Research Centres

icon

Bengaluru

Pain Points

Limited real-time weather data, costly connectivity and manual reporting weakened field monitoring.

icon

Limited Microclimate Data

Distributed sites lacked reliable local weather data for agriculture, research and environmental decisions.

icon

High Data Acquisition Costs

Conventional stations relied on costly cellular links, increasing expenses across distributed locations.

icon

Delayed Manual Data Collection

Manual readings were often delayed or incomplete, limiting timely analysis and operational response.

Our Offerings

Deployed a WSC2-L LoRaWAN® weather monitoring solution for automated, wide-area environmental data.

icon

Multi-Parameter Weather Monitoring

The WSC2-L collected data from connected sensors for rainfall, wind, temperature and other conditions.

icon

Reliable Power Architecture

A rechargeable battery and 12V input supported continuous operation, with external power for added sensors.

icon

Long-Range LoRaWAN Connectivity

Weather data was sent over LoRaWAN to a gateway, reducing dependence on individual cellular connections.

icon

Cloud Dashboard and Analytics

IoT dashboards displayed live and historical data for visualization, trend analysis and decision support.

The WSC2-L collected data from connected sensors for rainfall, wind, temperature and other conditions.

A rechargeable battery and 12V input supported continuous operation, with external power for added sensors.

Weather data was sent over LoRaWAN to a gateway, reducing dependence on individual cellular connections.

IoT dashboards displayed live and historical data for visualization, trend analysis and decision support.
img
Our DeploymentOur DeploymentOur Deployment

Outcomes

img

Improved Weather Visibility

Real-time local data improved visibility into changing weather and environmental conditions across sites.

img

Lower Connectivity Costs

Shared LoRaWAN gateway connectivity reduced the need for separate cellular links at each station.

img

Faster Risk Identification

Timely rainfall, wind and temperature data supported earlier identification of changing field risks.

img

Scalable Monitoring Coverage

Additional WSC2-L units could extend weather monitoring across research plots and distributed locations.

Design.
Deploy.
Scale.

Buy Products

© 2026, AIoTkart. All Rights Reserved.