MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112492 A) filed by Sudha. R; Manusmitha. M; Mohammed Noohu. S; Mohammed Arshath. A; Akalya. A; and Nabees Raj. R, Coimbatore, Tamil Nadu, on Nov. 17, 2025, for 'lora based wireless weather station monitoring system.'
Inventor(s) include Sudha. R; Manusmitha. M; Mohammed Noohu. S; Mohammed Arshath. A; Akalya. A; and Nabees Raj. R.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The LoRa-Based Wireless Weather Station Monitoring System is designed to collect and transmit real-time environmental data over long distances using LoRa (Long Range) communication technology. Data from the sensors is processed by a microcontroller and transmitted wirelessly to a LoRa gateway, which forwards it to a cloud server for monitoring and analysis.This system offers low power consumption, long-range coverage, and cost-effective operation, making it ideal for remote or rural areas where traditional networks are unavailable. Users can access live weather information through a web or mobile interface, enabling improved decision-making in fields such as agriculture, environmental research, and disaster management. This project presents a LoRa-based wireless weather station designed to measure and transmit key atmospheric parameters such as temperature, humidity, pressure, and rainfall over long distances with minimal power consumption. The system utilizes LoRa (Long Range) communication technology, which offers wide-area connectivity and high data transmission reliability even in remote or rural areas where traditional networks are unavailable. The weather data collected by multiple sensor nodes is transmitted to a central gateway and then uploaded to a cloud server or displayed on a monitoring dashboard for real-time analysis. The proposed system is low- cost, scalable, and energy-efficient, making it suitable for applications in agriculture, environmental research, and smart city development. Future improvements can include integrating solar power, additional sensors such as wind speed and UV index, and applying machine learning for predictive weather analytics."
Disclaimer: Curated by HT Syndication.
