Publication result detail

Weight Sensing of Beehives with IoT Connectivity

HAVRÁNEK, D.; KUFA, J.

Original Title

Weight Sensing of Beehives with IoT Connectivity

English Title

Weight Sensing of Beehives with IoT Connectivity

Type

Paper in proceedings (conference paper)

Original Abstract

This paper focuses on designing a device that can measure some beehive parameters, that can inform users about the conditions in a beehive. These parameters are beehive weight, internal and ambient temperature, internal and ambient humidity, and air pressure. The device allows sending the measured data wirelessly through the GSM network and interpreting the results in appropriate way. Low power consumption is desirable due to working without the reach of the distribution network.

English abstract

This paper focuses on designing a device that can measure some beehive parameters, that can inform users about the conditions in a beehive. These parameters are beehive weight, internal and ambient temperature, internal and ambient humidity, and air pressure. The device allows sending the measured data wirelessly through the GSM network and interpreting the results in appropriate way. Low power consumption is desirable due to working without the reach of the distribution network.

Keywords

Beehive monitoring, sensors, IoT, GSM, ESP

Key words in English

Beehive monitoring, sensors, IoT, GSM, ESP

Authors

HAVRÁNEK, D.; KUFA, J.

RIV year

2023

Released

26.04.2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6030-0

Book

Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers

Edition

1

Pages from

92

Pages to

95

Pages count

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf

BibTex

@inproceedings{BUT178205,
  author="Daniel {Havránek} and Jan {Kufa}",
  title="Weight Sensing of Beehives with IoT Connectivity",
  booktitle="Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers",
  year="2022",
  series="1",
  pages="92--95",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf"
}

Documents

EEICT_Havránek