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@article{185600,
author = {Nikita Kailas Kurhade},
title = {Real Time Weather Monitoring System},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {5},
pages = {2101-2108},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=185600},
abstract = {Weather plays a vital role in agriculture, transportation, disaster management, and daily human activities. Traditional weather monitoring systems are expensive, centralized, and not easily accessible to individuals. This project aims to design an IoT-based Real-Time Weather Monitoring System that uses environmental sensors to measure temperature, humidity, atmospheric pressure, rainfall, and air quality. The collected data is transmitted to the cloud via Wi-Fi, where it is processed and stored. A web/mobile dashboard is provided to users for real-time weather updates, graphical analysis of historical data, and automatic alert notifications in case of abnormal conditions (e.g., heavy rainfall, high pollution, extreme heat). This system is cost-effective, scalable, and user-friendly, making it suitable for agriculture, smart cities, research, and environmental monitoring. Climate change and environmental degradation have highlighted the urgent need for accurate and continuous monitoring of weather parameters. Conventional weather monitoring stations are often expensive, bulky, and limited to specific geographic regions, which restricts their scalability and accessibility. To overcome these challenges, this project proposes a Real-Time Weather Monitoring System that leverages the power of Internet of Things (IoT) and Cloud Computing technologies.The system employs IoT-enabled sensors, such as temperature, humidity, barometric pressure, and rain sensors, which are interfaced with a microcontroller (e.g., NodeMCU or Raspberry Pi). The collected data is transmitted via Wi-Fi or LoRaWAN to a cloud platform, where it is stored, analyzed, and visualized in real time. A web and mobile application dashboard enables users, researchers, and government agencies to access live environmental conditions, historical data trends, and predictive analytics. Alerts and notifications can also be configured for extreme conditions, supporting disaster management and agriculture planning. This approach ensures low-cost, scalable, and energy-efficient weather monitoring, with the ability to deploy nodes across remote and urban areas. By integrating IoT with cloud infrastructure, the system provides a flexible and user-friendly platform for environmental monitoring, which can aid in smart agriculture, urban planning, disaster preparedness, and climate research. Ultimately, this project demonstrates how IoT and cloud-based solutions can make weather data more accessible, accurate, and actionable for diverse stakeholders.},
keywords = {},
month = {October},
}
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