Development of System for Monitoring and Geopositioning for Cattle Using IoT

Javier Veintimilla, Monica Huerta, Jose Ignacio Castillo-Velazquez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Commercial solutions for tracking cattle position and temperature for detecting cattle health are expensive and only affordable for owners of a high quantity of cattle, so an affordable solutions for small ranches was developed. This work shows the design, development implementation and test for the measurement of temperature and geoposition for cattle. The developed system used a Pycom device using a LPWAN protocol, which has the capability to integrate WiFi, Figfox, Bluetooth, FiPy, LTE, but LoRa was the selected choice under the micro Python language for developing the final node and the Gateway. The Pybytes was the used web platform where the temperature and GPS position data were received and integrated in webhooks, then the user was notified using the Telegram program. The system was successfully validated using ten nodes, obtaining the temperature and GPS location for cattle, so the prototype solution cost is 810 USD.

Original languageEnglish
Title of host publication2022 IEEE ANDESCON
Subtitle of host publicationTechnology and Innovation for Andean Industry, ANDESCON 2022
EditorsMariela Cerrada Lozada, Paul Sanmartiin Mendoza
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665488549
DOIs
StatePublished - 2022
Event11th IEEE Conference of the Andean Council, ANDESCON 2022 - Barranquilla, Colombia
Duration: 16 Nov 202219 Nov 2022

Publication series

Name2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022

Conference

Conference11th IEEE Conference of the Andean Council, ANDESCON 2022
Country/TerritoryColombia
CityBarranquilla
Period16/11/2219/11/22

Bibliographical note

Funding Information:
The authors gratefully Acknowledge the support to CYTED 788 [REDTPI4.0-320RT0006], CYTED [EFIMOVI720RT0014], PLAGRI project by Telecommunications and Telematics Research Group (GITEL) from Universidad Politecnica Salesiana, Cuenca, Ecuador.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Cattle
  • Geopositioning
  • Internet of Things
  • LoRa
  • LPWAN
  • Monitoring

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