Open AccessPersonalized Weather Station With Machine Learning Based Rainfall Predictor
Author(s) -
A Agathiyan,
Naresh Kumar K. M,
K. Immanuel
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1075
Subject(s) - wind speed , weather station , meteorology , environmental science , weather prediction , surface weather observation , automatic weather station , weather forecasting , humidity , relative humidity , extreme weather , computer science , climatology , climate change , geography , geology , oceanography
Weather changes have been happening all around the world. And it has become quite a task to predict weather over a particular area. Weather stations are places equipped with instruments necessary for measuring atmospheric conditions. These stations study weather patterns and climatic conditions to provide weather forecasts. The proposed system is a weather station used to monitor the climatological data over a particular petit are a like households and farms that predicts the current weather condition. This system includes different sensors to sense various parameters like temperature, pressure, humidity, wind speed and wind direction. For a long-term basis, the collected data is subjected to machine learning algorithms to predict rainfall. This helps people to take preventive measures and to estimate risks to life and property.