Smart Weather Monitoring and Forecasting System Using Machine Learning (ML)

Year : 2024 | Volume :13 | Issue : 01 | Page : 12-21
By

Pushkar Nitin Bramhankar,

Mahadev Dattatray Metgar,

Kshitij Ajit Konde Deshmukh,

S.D. Mali,

  1. Student Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune Maharashtra India
  2. Student Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune Maharashtra India
  3. Student Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune Maharashtra India
  4. Professor Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune Maharashtra India

Abstract

The Smart Weather Monitoring System & Forecasting using Machine Learning (ML) represents an innovative approach to modern weather prediction and monitoring. This system combines the capabilities of machine learning algorithms with vast sets of weather data to provide accurate and timely weather forecasts. By collecting and analyzing data points like temperature, humidity, light intensity, rainfall, and atmospheric pressure, the system can generate precise predictions for a wide range of applications. Whether it’s aiding in agriculture, improving transportation safety, enhancing disaster management, or simply helping individuals plan their daily activities, this ML-driven weather monitoring system offers a data-driven solution for reliable weather information. This abstract outline the core principles and benefits of this advanced system, highlighting its importance in today’s data-driven world.

Keywords: Digital technology, machine learning, weather, data pre-processing, humidity, rainfall, internet of things (IoT).

[This article belongs to Research & Reviews : Journal of Space Science & Technology(rrjosst)]

How to cite this article: Pushkar Nitin Bramhankar, Mahadev Dattatray Metgar, Kshitij Ajit Konde Deshmukh, S.D. Mali. Smart Weather Monitoring and Forecasting System Using Machine Learning (ML). Research & Reviews : Journal of Space Science & Technology. 2024; 13(01):12-21.
How to cite this URL: Pushkar Nitin Bramhankar, Mahadev Dattatray Metgar, Kshitij Ajit Konde Deshmukh, S.D. Mali. Smart Weather Monitoring and Forecasting System Using Machine Learning (ML). Research & Reviews : Journal of Space Science & Technology. 2024; 13(01):12-21. Available from: https://journals.stmjournals.com/rrjosst/article=2024/view=150329

References

  1. Yashaswi Rahul, Rimsha Afreen, Divya Kamini “Smart weather monitoring and real-time alert system using IoT” International Research Journal of Engineering and Technology (IRJET) Volume: 05 Issue:10, Oct (2018)
  2. Gaurav Jadhav, Kunal Jadhav, Kavita Nadlamani, “Environment Monitoring System using Raspberry- Pi”, GES’ H. Sapat College of Engineering, Management Studies and Research. IRJET – vol. 3, issue 4, Apr 2016.
  3. Satyashil Nagrale, Ms. Poonam Khetmalis,Ms.Sanika Doke, Ms. Varsha Dherange. Real Time Data Transmission for Weather Monitoring System. International Research Journal of Engineering and Technology. Volume: 03 Issue: 02 | Feb-2016
  4. M. M. Raste, Ms. A. A. Pujari, Vinayak Aappasaheb Pujari “Cost Effective Automatic Weather Station”. International Conference on Recent Innovations in Engineering and Management. Dhananjay Mahadik Group of Institutions (BIMAT) Kolhapur, Maharashtra, 23rd March 2016. Data Conference world.
  5. Vamsi Krishna, “An integrated approach for weather forecasting based on data mining and forecasting analysis”. International Journal of Computer Applications (0975 – 8887) Volume 120 – No.11, June 2015
  6. R.V. Anandharajan G. Abhishek Hariharan, K.K. Vignajeth, R. Jijendiran kushmita “Weather Monitoring Using Artificial Intelligence” 2016 International Conference on Computational Intelligence and Networks. 2375–5822/16 $31.00, IEEE DOI 10.1109/CINE.2016.26, (2016).
  7. Bulipe Srinivas Rao, Prof. Dr. K. Srinivasa Rao, Mr. N. Ome, “Internet of Things (IoT) Based Weather Monitoring system”, International Journal of Advanced Research in Computer and Communication Engineering, ISO 3297:2007 Certified, 5, Issue 9, September 2016
  8. Kavya Ladi, A V S N Manoj, G V N Deepak, “IOT Based Weather Reporting System to Find Dynamic Climatic Parameters”, International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS-2017).
  9. Prasanna, M. Iyapparaja, M. Vinoth Kumar, B Ramamurthy, S.S. Manivannan,” An Intelligent Weather Monitoring System using Internet of Things”, International Journal of Recent Technology and Engineering (IJRTE, Volume-8 Issue- 4, November (2019).
  10. Ferdin Joe John Joseph “IoT Based Weather Monitoring System for Effective Analytics “International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-4, April (2019)
  11. Zi-Qi Huang, Ying-Chih Chen, and Chih-Yu Wen, “Real-Time Weather Monitoring and Prediction Using City Buses and Machine Learning”, 3 to 21 Published 10 September (2020).
  12. D. Jadhav, S. D. Mali, “RTOS based MODBUS protocol implementation on ARM-7 processor”, ICWET ’11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology, February 2011, ISBN:9781450304498, DOI:10.1145/1980022, Publisher: Association for Computing Machinery New York, NY, United States.
  13. S. D. Mali1, Rudrani Kale2, Sagar Ghode3, Swarag Baad4, “Generic Board for Industrial Appliances using IoT and GUI”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), Volume 3, Issue 8, pg 657-660, April 2023, DOI: 10.48175/IJARSCT-9635 657, ISSN (Online) 2581–9429.
  14. Tanvi Mannapur1, Prasad Palange2, Amey Bhavsar3, D. Mali4, “RFID Technology in Retail: A Study on IoT-Based Shopping Cart System”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), Volume 3, Issue 2, pg 265– 272, May 2023, DOI: 10.48175/IJARSCT-9748, ISSN (Online) 2581–9429.
  15. Nishant Shrirao1, Shoebh Shaikh2, Shantanu Salunke3, S. D. Mali4, “Intelligent Battery Swapping System Using IOT”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), Volume 3, Issue 8, pg 308–312, May 2023, DOI: 48175/IJARSCT-10294.

Regular Issue Subscription Review Article
Volume 13
Issue 01
Received May 13, 2024
Accepted June 3, 2024
Published June 10, 2024