Abstract: Recently weather changes result from natural variability and human activities like greenhouse gas emissions, leading to global warming and increased extreme events. IoT facilitates data sharing without human involvement, aiding sectors like healthcare and agriculture. Our cost-effective IoT-based weather monitoring system utilizes the ARIMA algorithm for forecasting. It comprises sensors collecting weather data, an IoT gateway for data transmission, and cloud storage. We address humidity concerns for housewives using sensors like DHT22 and LDR, triggering alarms for high humidity levels. Deployable in remote locations, it aids domestic planning based on weather conditions.
Keywords: ARIMA Algorithm, Barometric pressure sensors, Internet of Things, Light Dependent Resistor, Machine Learning, Rain Sensor, Weather monitoring and forecasting.
Cite:
Dr. P. Manikandaprabhu, Ms. S. Nivetha, "A Cost-Effective IoT-Based Weather Monitoring and Forecasting using Arima Algorithm", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133109.
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DOI:
10.17148/IJARCCE.2024.133109
