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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36221

ClimaTrack: IoT-ENABLED REAL-TIME WEATHER DATA ACQUISITION AND ANALYSIS

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM36221

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM36221

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MD

Mamartha Datta

MG

Mainak Ghosh

IM

Ishani Mitra

NP

Namrata Pal

NM

Niladri Mondal

SC

Sumanta Chatterjee

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Abstract

Weather conditions significantly influence various human activities, making accurate data essential for planning and decision-making. Traditional weather monitoring systems are often expensive and complex, impractical for individual or small-scale use. This project develops a cost-effective, portable, and user-friendly weather monitoring system based on Arduino technology. It measures key environmental parameters such as temperature, humidity, atmospheric pressure, and rainfall in real-time using a DHT11 sensor, rain sensor, and ESP8266 Wi-Fi module. Data is processed by an Arduino Uno microcontroller and transmitted to the ThingSpeak server for remote monitoring and analysis. Emphasizing affordability and accessibility, the system uses readily available components and the Arduino IDE for straightforward programming. This project demonstrates the potential of IoT technologies for practical, scalable solutions, enhancing weather awareness and decision-making. Future work could expand the system with additional sensors, improved data processing, and sophisticated user interfaces to increase utility and performance.

KEYWORDS

Temperature Sensor Humidity Sensor Rain Sensor.

Cite This Article

Mamartha Datta, Mainak Ghosh, Ishani Mitra, Namrata Pal, Niladri Mondal, Sumanta Chatterjee, "ClimaTrack: IoT-ENABLED REAL-TIME WEATHER DATA ACQUISITION AND ANALYSIS," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024. https://doi.org/10.55041/IJSREM36221

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Publication Date

2/6/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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