This paper is published in Volume-5, Issue-3, 2019
Area
Computer Science
Author
Shubham Singh, Rainy Jain
Org/Univ
Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India
Pub. Date
27 May, 2019
Paper ID
V5I3-1608
Publisher
Keywords
Metropolitan cities, Data analysis, Web scraping, Weather forecasting

Citationsacebook

IEEE
Shubham Singh, Rainy Jain. Weather report on metropolitan cities in India using web scraping technique, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Shubham Singh, Rainy Jain (2019). Weather report on metropolitan cities in India using web scraping technique. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Shubham Singh, Rainy Jain. "Weather report on metropolitan cities in India using web scraping technique." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

In metropolitan cities of India, there are several climate measurement points that are owned by several different institutions such as Indian Institute of Tropical Meteorology, NCMRWF, India Meteorological Department (Pune) and many other institutes. However, obtaining the latest meteorological data in detail within a specific period has restricted the bureaucratic process to each institution. While the availability of meteorological data sets is necessary for conducting research in the field of data analysis to predict climate and analyzes for DSS that require weather patterns. On the other hand, some sites provide real-time weather data for some cities. For this, in this research, we use web scraping technology to collect meteorological data in metropolitan cities in India. Web scraping technology is a technique for retrieving the content of a web page individually. The data collected by this web scraping technique will form a database or data warehouse that can be used for further research on data mining for weather forecasting in metropolitan cities, which in the future can be developed a support application to based decision.