Improving Bee Living Conditions through Ecological Thermal Insulation and Remote Early Anomaly Detection-Vital Step Towards Preserving Bees Population

• Autorzy: Górecki, Sebastian , Wrześniewska-Tosik, Krystyna , Mik, Tomasz , Walisiak, Damian , Kowalewski, Tomasz , Pałczyńska, Michalina , Wesołowska, Ewa
• Języki publikacji: EN

Abstrakty

EN

This publication underscores the vital role of bees, particularly their contribution to products like honey, pollen, and propolis, which offer significant health benefits. Notably, 79% of the world’s food supply relies on bees; thus, their declining numbers pose a threat to pollination and food security. The study explores an ecological thermal insulation for hives using animal biomass and a monitoring system to detect anomalies in bee habitats early. This approach aims to protect bee populations and enhance global food security through improved data-driven practices.

Słowa kluczowe

EN

chicken feather; nonwovens; IoT; condition of bees

• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2024
• Tom: Vol. 32, no. 4
• Strony: 1--12
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Górecki, Sebastian

• Intelligent Hives Sp. z o.o., Poddębice, Poland ,
• Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland

autor

Wrześniewska-Tosik, Krystyna

• Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland

autor

Mik, Tomasz

• Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland

autor

Walisiak, Damian

• Intelligent Hives Sp. z o.o., Poddębice, Poland
• Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland

autor

Kowalewski, Tomasz

• Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland

autor

Pałczyńska, Michalina

• Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland

autor

Wesołowska, Ewa

• Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland

Bibliografia

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• 3. H. K. A. S. C. C. Helmut Kovac, „Metabolism and upper thermal limits of Apis mellifera carnica and A. m. ligustica,” SpringerLink, p. pages 664–677, 2014.
• 4. Food and Agriculture Organization of the United, “FAOSTAT,” 16 January 2019. [Online]. Available: http://www.fao.org/faostat
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• 6. A. Colakovic i M. Hadzialic, „Internet of Things (IoT): A Review of Enabling Technologies,” Computer Networks, Vol. 144, pp. 17-39, 2018.
• 7. M. Centenaro , L. Vangelista, A. Zanella i M. Zorzi, „Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios,” IEEE Wireless Communications, Vol. 23, nr 5, pp. 60-67, 2016.
• 8. K. Mekki, E. Bajic, F. Chaxel i F. Meyer, „A comparative study of LPWAN technologies for large-scale IoTdeployment,” ICT Express, Vol. 4, 2018.
• 9. InfluxData, „Understanding InfluxDB & the TICK Stack,” InfluxData, 2019. [Online]. Available: https://www.influxdata.com/time-series-platform/influxdb/. [Available: January 2019].
• 10. W.G. Meikle, M. Weiss, E. Beren, Landscape factors influencing honey bee colony behavior in Southern California commercial apiaries. Sci Rep 10, 5013, 2020.
• 11. M. Calovi, C.M. Grozinger, D.A. Miller, et al. Summer weather conditions influence winter survival of honey bees (Apis mellifera) in the northeastern United States. Sci Rep 11, 1553, 2021.
• 12. R. Martín-Hernández, A. Meana, P. García-Palencia, P. Marín, C. Botías, E. Garrido-Bailón, L. Barrios, M. Higes, Effect of temperature on the biotic potential of honeybee microsporidia. Appl Environ Microbiol. Apr;75(8):2554-7, 2009.
• 13. H.F Abou-Shaara, A.A. Owayss, Y.Y. Ibrahim, N.K. Basuny, A review of impacts of temperature and relative humidity on various activities of honey bees. Insects Soc., 64, 455–463, 2017.
• 14. W. Ostrowska, Gospodarka pasieczna, Warszawa: PWRiL, 2013.
• 15. B.Sheesley, B. Poduska, Strong honeybee colonies prove value in almond pollination. Calif Agr. 24: 5–6, 1970.
• 16. R. Goodman, Australian beekeeping guide. Rural Industries Research and Development Corporation.Kingston, ACT, 2015.
• 17. D. Marković, U. Pešović, Đ. Slađana i S. Ranđić, „Decision support system for temperature,” Acta Agriculturae Serbica, Vol. 32, pp. 135-144, 2016.

Identyfikatory

DOI

10.2478/ftee-2024-0025