Raspberry Pi Based Weather Monitoring System

Authors

  • Anshul Bharadwaj Student, Department of Computer Science and Engineering, Arya Institute of Engineering and Technology, Jaipur, India
  • Arpit Sudhir Student, Department of Computer Science and Engineering, Arya Institute of Engineering and Technology, Jaipur, India
  • Himanshu Shekhar Student, Department of Computer Science and Engineering, Arya Institute of Engineering and Technology, Jaipur, India
  • Naman Khandelwal Student, Department of Computer Science and Engineering, Arya Institute of Engineering and Technology, Jaipur, India
  • Inder Kishor Associate Professor, Department of Computer Science and Engineering, Arya Institute of Engineering and Technology, Jaipur, India

Keywords:

Raspberry Pi, LDR, BPM180, DHT11

Abstract

Climatic conditions assume a crucial part in our everyday lives. Gathering information on different climate boundaries is significant for indoor and natural arranging. Late advances in Internet of Things make information assortment simpler. In this framework, numerous computerized and simple sensors, for example, DHT11, BMP180, LDR and the ULN2803 scale are utilized to gauge ecological boundaries. This information comes from the information sensor and is perused by the Raspberry Pi worker itself and put away in CSV configuration and text documents. The sensors gather information from different ecological boundaries and feed it with a Raspberry PI that goes about as a base station. A site and versatile application created utilizing Google Data Studio and Android Studio individually to show ongoing climate conditions in a graphical show available to supervisors and clients. access. Clients will get climate cautions in that specific region on the interpersonal organization consistently and casually. Climate estimates are made in a brief timeframe, permitting clients to get ready for their tentative arrangements inside the following 30 minutes.

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Published

15-08-2021

How to Cite

[1]
A. Bharadwaj, A. Sudhir, H. Shekhar, N. Khandelwal, and I. Kishor, “Raspberry Pi Based Weather Monitoring System”, IJRESM, vol. 4, no. 8, pp. 114–117, Aug. 2021.

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