Detail publikačního výsledku

Weight Sensing of Beehives with IoT Connectivity

HAVRÁNEK, D.; KUFA, J.

Originální název

Weight Sensing of Beehives with IoT Connectivity

Anglický název

Weight Sensing of Beehives with IoT Connectivity

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Beehive monitoring, sensors, IoT, GSM, ESP

Klíčová slova v angličtině

Beehive monitoring, sensors, IoT, GSM, ESP

Autoři

HAVRÁNEK, D.; KUFA, J.

Rok RIV

2023

Vydáno

26.04.2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6030-0

Kniha

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

Edice

1

Strany od

92

Strany do

95

Strany počet

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"
}