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

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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
Rocznik
Strony
1--12
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
  • Intelligent Hives Sp. z o.o., Poddębice, Poland Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland
  • Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland
autor
  • Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland
  • Intelligent Hives Sp. z o.o., Poddębice, Poland Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland
  • Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland
  • Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland
  • Łukasiewicz Research Network - Lodz Institute of Technology, Lodz, Poland
Bibliografia
  • 1. M. A. Aizen, L. D. Harder, The Global Stock of Domesticated Honey Bees Is Growing Slower Than Agricultural Demand for Pollination, Current Biology, Volume 19, Issue 11, p. 915-918, 2009.
  • 2. E. Eskov, The Origin and Organization of the Bee Colony Apis mellifera L., 2019.
  • 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.
  • 5. R. F. Moritz, J. d. Miranda, I. Fries, Y. L. Conte, P. Neumann i R. J. Paxton, „Research strategies to improve honeybee health in Europe,” Apidologie, Vol. 41, pp. 227-242, 2010.
  • 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.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a95c976b-c98f-4147-8720-f53dc71a2a18
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