Addressing RFID Misreadings to Better Infer Bee Hive Activity

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Author(s)
Susanto, Ferry
Gillard, Thomas
De Souza, Paulo
Vincent, Benita
Budi, Setia
Almeida, Auro
Pessin, Gustavo
Arruda, Helder
Williams, Raymond N
Engelke, Ulrich
Marendy, Peter
Hirsch, Pascal
He, Jing
Griffith University Author(s)
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2018
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Abstract

This paper proposes a method to address misreadings and consequent inadequacy of radio-frequency identification data for social insect monitoring. Six-month worth field experiment data were collected to demonstrate the application of the method. The data are transformed into a linear combination of the Gaussian model and curve-fitted using an evolutionary algorithm. This results show that the proposed method allows us to improve the quality of data that infer honey bee behavior at the colony level.

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IEEE Access

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6

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© The Author(s) 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Engineering

Science & Technology

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Computer Science, Information Systems

Engineering, Electrical & Electronic

Telecommunications

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Susanto, F; Gillard, T; De Souza, P; Vincent, B; Budi, S; Almeida, A; Pessin, G; Arruda, H; Williams, RN; Engelke, U; Marendy, P; Hirsch, P; He, J, Addressing RFID Misreadings to Better Infer Bee Hive Activity, IEEE Access, 2018, 6, pp. 31935-31949

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