NUST School of Electrical Engineering & Computer Science develops indigenous weather station

The IoT-based Weather Station, indigenously developed by Principal Investigator Dr Shahzad Younis, of NUST School of Electrical Engineering & Computer Science, is the perfect weather monitoring solution for anyone who needs real-time, local weather information at flexible time resolutions ranging from a fraction of seconds to hours/days.
Data includes Rain Level, Wind Speed & Direction, Atmospheric Pressure, Air Quality (TVOC + CO2 Levels), Light Intensity, Air Temperature & Humidity. The solution also improves reliability by including the redundancy of key sensors. Sensor suite’s rugged, weather-proof housing gives years of reliable data. Moreover, it is solar-powered with battery backup and supports sleep mode to preserve the battery for a longer time.
The solution can provide data to farmers, gardeners, educators, community leaders, outdoor recreation enthusiasts, researchers, businesses, and weather enthusiasts.