Addressing RFID Misreadings to Better Infer Bee Hive Activity

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...

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Bibliographic Details
Published in:IEEE access 2018-01, Vol.6, p.31935-31949
Main Authors: 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
Format: Article
Language:English
Subjects:
Antennas
Apis mellifera
Australia
curve fitting
data quality
Europe
Evolutionary algorithms
genetic algorithm
Insects
optimization
Radio frequency identification
RFID
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Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2844181