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Pushkar Nitin Bramhankar, Mahadev Dattatray Metgar, Kshitij Ajit Konde Deshmukh, S.D. Mali
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- Student, Student, Student, Professor Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune, Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune, Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune, Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune Maharashtra, Maharashtra, Maharashtra, Maharashtra India, India, India, India
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Abstract
nThe 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.
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Keywords: Digital technology, machine learning, weather, data pre-processing, humidity, rainfall, internet of things (IoT).
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References
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Research & Reviews : Journal of Space Science & Technology
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| Volume | 13 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | May 13, 2024 | |
| Accepted | June 3, 2024 | |
| Published | June 10, 2024 |
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