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Authors: Andrzej Szczurek 1 ; Monika Maciejewska 1 ; Beata Bąk 2 ; Jakub Wilk 2 ; Jerzy Wilde 2 and Maciej Siuda 2

Affiliations: 1 Faculty of Environmental Engineering, Wroclaw University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław,Poland ; 2 Apiculture Department, Warmia and Mazury University in Olsztyn, Sloneczna 48, 10-957 Olsztyn, Poland

ISBN: 978-989-758-403-9

ISSN: 2184-4380

Keyword(s): Semiconductor Gas Sensor, Beehive, Indoor Air, Varroosis, Measurement.

Abstract: Infestation of bee colony with Varroa destructor proceeds exponentially. It is important to detect the disease at its very early stage. However, the distinction of later infestation stages is also practical. We proposed to apply gas sensor array measurements of beehive air as the source of information which may be useful for this kind of assessment. Honeybee infestation was classified into three categories: ‘low’, ‘medium’ and ‘high’, two categories: ‘low’ and ‘medium to high’, and another two categories: ‘high’ and ‘medium to low’. Responses of gas sensor array to beehive air were used as the input data of the classifier, which was trained to distinguish the categories. The results of the analysis demonstrated that category ‘low’ was determined most effectively, with an error rate of about 10%. Category ‘high’ was most difficult to determine. In this case the lowest error rate was about 20%. Based on our analysis, the approach based on binary classification was favoured and SVM outpe rformed ensemble of classification trees. It was found, that first several minutes of gas sensors exposure to beehive air were sufficient to attain effective classification. The presented method of varroosis determination, based on beehive air sensing with gas sensors is innovative and has high potential of application in beekeeping. (More)

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Paper citation in several formats:
Szczurek, A.; Maciejewska, M.; Bąk, B.; Wilk, J.; Wilde, J. and Siuda, M. (2020). Classification of Honeybee Infestation by Varroa Destructor using Gas Sensor Array.In Proceedings of the 9th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-403-9, ISSN 2184-4380, pages 61-68. DOI: 10.5220/0009171100610068

@conference{sensornets20,
author={Andrzej Szczurek. and Monika Maciejewska. and Beata Bąk. and Jakub Wilk. and Jerzy Wilde. and Maciej Siuda.},
title={Classification of Honeybee Infestation by Varroa Destructor using Gas Sensor Array},
booktitle={Proceedings of the 9th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2020},
pages={61-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009171100610068},
isbn={978-989-758-403-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Classification of Honeybee Infestation by Varroa Destructor using Gas Sensor Array
SN - 978-989-758-403-9
AU - Szczurek, A.
AU - Maciejewska, M.
AU - Bąk, B.
AU - Wilk, J.
AU - Wilde, J.
AU - Siuda, M.
PY - 2020
SP - 61
EP - 68
DO - 10.5220/0009171100610068

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