Artificial Intelligence in Weather Monitoring


Authors : MANTU BERA

Volume/Issue : Volume 6 - 2021, Issue 2 - February

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3qnpw2t

Weather monitoring and forecasting is generally a analytical measure. We want to develop an smart weather forecasting module as this is a important tool. The tool considers measurements of max. temperature, min. temperature and rainfall for a sampled period of days and then analyzed. An intelligent prediction using available data is carried out with the use of machine learning algorithms or techniques. The study and prediction, on the basis of linear regression that predicts the weather for the next day with good perfection and reliability. Based on the dataset, we got accuracy more than 90%. Recently studies proved that machine learning techniques are obviously better than traditional statistical techniques. The Machine learning techniques is proved to be a powerful method in forecasting as well as investigating a provided data set. This section carries a crucial role in agricultre, industry as well as management sectors, where the weather prediction is a significant criterion.

Keywords : Machine Learning, Weather Monitoring, AI, Linear Regression, SVM

CALL FOR PAPERS


Paper Submission Last Date
30 - November - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe