Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Validation of an IoT System Using UHF RFID Technology for Goose Growth Monitoring

Barbora Černilová
* ORCID logo ,
Miloslav Linda
,
Jiří Kuře
,
Monika Hromasová
ORCID logo ,
Rostislav Chotěborský
,
Ondřej Krunt
Version 1 : Received: 8 December 2023 / Approved: 8 December 2023 / Online: 11 December 2023 (09:11:47 CET)

A peer-reviewed article of this Preprint also exists.

Černilová, B.; Linda, M.; Kuře, J.; Hromasová, M.; Chotěborský, R.; Krunt, O. Validation of an IoT System Using UHF RFID Technology for Goose Growth Monitoring. Agriculture 2024, 14, 76. Černilová, B.; Linda, M.; Kuře, J.; Hromasová, M.; Chotěborský, R.; Krunt, O. Validation of an IoT System Using UHF RFID Technology for Goose Growth Monitoring. Agriculture 2024, 14, 76.

Abstract

Regular weight measurement is important in fattening geese to assess their health status. Failure to gain weight may indicate a potential illness. Standard weight gain analysis involves direct contact with the animal, which can cause stress to the animal, resulting in overall negative impacts on animal welfare. The focus of this study was to design a smart solution for monitoring weight changes in the breeding of farm animals. The proposed IoT system with a weighing device equipped with RFID technology for animal registration aimed to minimise the negative aspects associated with measuring in contact with humans. The designed system aims to incorporate modern approaches in animal husbandry and utilise the acquired data for the potential development of breeding approaches for various animal breeds. The system consisted of three main components: a data acquisition system, a weighing system with RFID, and an environmental monitoring system. In this study, the RFID system accuracy for detecting geese in the weighing system environment was assessed. The entire system evaluation yielded a sensitivity of 93.87%, specificity of 99.94%, accuracy of 99.85%, and precision of 95.09%. Regression analysis revealed a good correlation between observed feeding and RFID registrations with a determination coefficient of R2 = 0.9813.

Keywords

Internet of Things; UHF RFID; growth monitoring; animal welfare; poutry feeding behaviour 

Subject

Engineering, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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