The advancement of IoT (Internet of Things) technology has revolutionised environmental monitoring, enabling real-time data collection and analysis across broader geographical contexts. This paper presents the design and implementation of a cost-effective IoT-based weather station, integrating widely available sensors to measure temperature, humidity, pressure, and rainfall. The system transmits data to both a local display and a cloud platform for data visualisation and storage. A comparative analysis between traditional web-based data presentation using a local host and Google Cloud-based solutions highlights the superior flexibility, accessibility, and storage capacity offered by Google Cloud's Sheets. By leveraging Google Sheets' capabilities, this study provides an innovative approach to weather data management, overcoming limitations inherent to local hosting methods. The proposed weather station system is not only affordable and scalable but also adaptable for diverse applications, including agriculture, disaster management, and urban planning. The findings demonstrate the potential of integrating cloud technology into IoT weather stations, offering robust access for use by different applications, real-time monitoring with low operational costs, and thus making it highly suitable for deployment in remote or resource-constrained environments.
A Thu, study studied this question.