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A.B. Tretiakova, A.R. Gordon, M.N. Mukminov

 

DEVELOPMENT OF A SOFTWARE PACKAGE FOR QUANTITATIVE ASSESSMENT OF INSECT MOTOR ACTIVITY IN ECOTOXICOLOGICAL STUDIES

 

Annotation. Under conditions of intensification of the agricultural sector, pesticide load is becoming a key factor in the antagonism between the technosphere and the biosphere, leading to the degradation of pollinator insect populations. The aim of the study was to develop and test a software package based on computer vision algorithms for the quantitative assessment of changes in the locomotor activity of honey bees (Apis mellifera L.) under the influence of pesticides. It was established that exposure to the pesticide imidacloprid at a sublethal concentration of 0.001 µg per subject causes statistically significant changes in behavioral metrics. The most sensitive indicator of stress proved to be the peripheral taxis index, which reached 99.8% in the experimental group versus 0.0% in the control. The developed software package provides an objective quantitative assessment of sublethal effects of pesticides that are not recorded by traditional methods.

Keywords: honey bee, pesticides, imidacloprid, locomotor activity, computer vision, object tracking.

For citation: Tretiakova A.B., Gordon A.R., Mukminov M.N. [Development of a Software Complex for Quantitative Assessment of Insect Motor Activity in Ecotoxicological Research]. Upravlenie tekhnosferoi, 2026, vol. 9, issue 3. рр. 692 – 705. DOI: 10.35634/UDSU.2026.31.73.008.

REFERENCES

 

  1. BrühlA., ZallerJ.G. Biodiversity Decline as a Consequence of an Inappropriate Environmental Risk Assessment of Pesticides. Frontiers in Environmental Science, 2019, vol. 7. art. 177. doi: 10.3389/fenvs.2019.00177.
  2. Brunet, FragosoF.P. What are the main reasons for the worldwide decline in pollinator populations? CABI Reviews, 2024. art. 0016. doi: 10.1079/cabireviews.2024.0016.
  3. Tanigaki, OtsukaR., Li A. et al. Automatic recording of rare behaviors of wild animals using video bio-loggers with on-board light-weight outlier detector. PNAS Nexus, 2024, vol. 3, no. 1, art. pgad447. doi: 10.1093/pnasnexus/pgad447.
  4. Rozenbaum, ShrotT., Daltrophe H. et al. Machine learning-based bee recognition and tracking for advancing insect behavior research. Artificial Intelligence Review, 2024, vol. 57. art. 245. https://doi.org/10.1007/s10462-024-10879-z.
  5. Paleolog, WildeJ., Gancarz M. et al. Imidacloprid Pesticide Causes Unexpectedly Severe Bioelement Deficiencies and Imbalance in Honey Bees Even at Sublethal Doses. Animals, 2023, vol. 13, no. 4. art. 615. DOI: 10.3390/ani13040615.
  6. Metodicheskie rekomendacii po ocenke dejstviya i potencial'noj opasnosti pesticidov dlya medonosnyh pchel [Guidelines for assessing the effects and potential hazards of pesticides for honey bees]. Moscow, 2001. (In Russ.).
  7. LarsonR., AndersonT.D. Video Tracking Protocol to Screen Deterrent Chemistries for Honey Bees. Journal of Visualized Experiments, 2017. no. 124. art. 55603. doi: 10.3791/55603.
  8. Li, XuX., Jiang Z. et. al. Adaptive Kalman Filter for Real-Time Visual Object Tracking Based on Autocovariance Least Square Estimation. Applied Sciences, 2024, vol. 14. art. 1045. https://doi.org/10.3390/app14031045.
  9. LegradiB., DiPaolo C., Kraak M.H.S. et al. An ecotoxicological view on neurotoxicity assessment. Environmental Sciences Europe, 2018, vol. 30, no. 1. art. 46. DOI: 10.1186/s12302-018-0173-x.
  10. SpenceK., AlharbiS.A.M., Ejomah A. et al. Sublethal Effects of Neonicotinoids: How Physiological and Behavioral Disruptions in Non-Target Insects Threaten Biodiversity and Ecosystem Services. Insects, 2025, vol. 17, no. 1. art. 26. DOI: 10.3390/insects17010026.
  11. TilsonA. Behavioral indices of neurotoxicity: What can be measured? Neurotoxicology and Teratology, 1987, vol. 9, no. 6, pp. 427–443. https://doi.org/10.1016/0892-0362(87)90055-9.
  12. Rigosi, TisonL., Haase A. Editorial: Effects of pesticides on the brain of pollinating insects. Frontiers in Insect Science, 2022, vol. 2. art. 1113610. doi: 10.3389/finsc.2022.1113610.

 

About the Authors

Tretiakova Anna Borisovna

postgraduate student, Kazan Federal University, Kazan, Russia.

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Gordon Alsu Raisovna

postgraduate student, Kazan Federal University, Kazan, Russia.

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Mukminov Malik Nilovich

Doctor of Biological Sciences, Professor, Department of Applied Ecology, Kazan Federal University, Kazan, Russia.

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