Monitor rivers, reservoirs, and low-lying areas for hyperlocal data. Sensors provide continuous and accurate measurements of water levels, enabling early detection of rising water that could lead to potential floods.
Alerts sent via SMS, mobile apps, or dashboards to authorities and citizens.
Ensures the safety of people in flood-prone areas by alerting them to rising water levels.
Capture localized rainfall data in real-time. Our rain monitoring system provides accurate and localized rainfall data, helping predict potential flood risks or drought conditions. The system is designed to work autonomously, collecting rain data through sensors strategically positioned across various locations
Automated reports for agricultural needs, urban water planning, and disaster preparedness.
Predict flooding risks or drought onset using historical and real-time rain data.
With our weather monitoring solution, real-time data on ambient conditions can be accessed for better environmental management and disaster readiness. The solution includes weather stations placed in strategic locations to ensure comprehensive data collection
Temperature, humidity, pressure, wind speed & direction, rain, precipitation, UV, and solar radiation.
Centralized monitoring of weather conditions for rapid response.
Automated Weather Stations for hyperlocal data.
Energy-efficient design powered by solar panels for remote, long-term usage.
Seamless integration with cloud platforms for remote access to weather data.
Measures multiple parameters such as atmospheric pressure, solar radiation, and soil moisture.
Built to withstand harsh environmental conditions for reliable outdoor performance.
Sends notifications for extreme weather events, enabling timely response.
Requires minimal upkeep due to its automated and self-sustaining design.
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An automatic weather station (AWS) was successfully implemented providing critical real-time meteorological data for military operations. The AWS enhanced decision-making by delivering accurate insights into weather conditions like wind speed, temperature, and humidity.
The station provided trainees with hands-on experience in collecting and analyzing weather data, improving their understanding of weather patterns crucial for farming practices. The AWS enabled better forecasting and decision-making for local agricultural activities.