Classification of Honeybee Infestation by Varroa Destructor using Gas Sensor Array

Szczurek, Andrzej; Maciejewska, M.; Bąk, Beata; Wilk, Jakub; Wilde, J.; Siuda, M.

doi:10.5220/0009171100610068

Cited by 1 publication

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our opinion, this idea allows for the detection of the infestation rate of the honey bee colony. The results of our previous studies of this issue support this assumption [ 36 , 37 , 38 , 39 ].…”

Section: Introductionsupporting

confidence: 56%

“…The device allowed for the continuous exposure of the gas sensors to the gases of interest as well as the sensors’ response measurement and recording. The detailed characteristics of the device were presented in [ 38 ]. Further, we elaborate on the selected important aspects of the detector.…”

Section: Methodsmentioning

confidence: 99%

“…The responses of the all sensors, elements of the gas sensor array, were utilized. The employed approach to feature vector formation was based on the results of earlier works on gas sensor measurements using the dynamic mode of operation [ 37 , 38 , 39 , 55 ]. In particular, it was demonstrated by Szczurek et al [ 37 , 38 , 39 ] that the first several minutes of gas sensor exposure to beehive air were sufficient to attain the effective classification of V.d.…”

Section: Methodsmentioning

confidence: 99%

“…The monitoring based on a stationary E-noses is expensive, as one instrument is dedicated for only one beehive. In addition, the measurement equipment is under the influence of meteorological conditions [ 36 , 37 , 38 , 39 ]. Metrological problems result also from the long exposure of sensors to volatile compounds, which are components of the gas permanently flowing through the measurement chamber.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Effectiveness of Varroa destructor Infestation Classification Using an E-Nose Depending on the Time of Day

Szczurek

Maciejewska

Zajiczek

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

Honey bees are subject to a number of stressors. In recent years, there has been a worldwide decline in the population of these insects. Losses raise a serious concern, because bees have an indispensable role in the food supply of humankind. This work is focused on the method of assessment of honey bee colony infestation by Varroa destructor. The approach allows to detect several categories of infestation: “Low”, “Medium” and “High”. The method of detection consists of two components: (1) the measurements of beehive air using a gas sensor array and (2) classification, which is based on the measurement data. In this work, we indicate the sensitivity of the bee colony infestation assessment to the timing of measurement data collection. It was observed that the semiconductor gas sensor responses to the atmosphere of a defined beehive, collected during 24 h, displayed temporal variation. We demonstrated that the success rate of the bee colony infestation assessment also altered depending on the time of day when the gas sensor array measurement was done. Moreover, it was found that different times of day were the most favorable to detect the particular infestation category. This result could indicate that the representation of the disease in the beehive air may be confounded during the day, due to some interferences. More studies are needed to explain this fact and determine the best measurement periods. The problem addressed in this work is very important for scheduling the beekeeping practices aimed at Varroa destructor infestation assessment, using the proposed method.

show abstract