Issue |
E3S Web Conf.
Volume 282, 2021
International Conference “Ensuring Food Security in the Context of the COVID-19 Pandemic” (EFSC2021)
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Article Number | 07022 | |
Number of page(s) | 9 | |
Section | Creation of a High-Performance Sector in Agriculture, Developing on the Basis of Modern Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202128207022 | |
Published online | 05 July 2021 |
Innovative method for optimizing the microclimate of the winter hive for bees in the conditions of the cryolithozone
Federal State Budgetary Educational Institution of Higher Education “Arctic State Agrotechnological University”, 677007 Yakutsk, Republic of Sakha (Yakutia), Russia
* Corresponding author: viktoriya-snow@mail.ru
The article discusses the practical significance of the use of infrared scanning method for optimizing the microclimate of winter hives and monitoring bee colonies in extreme conditions of cryolithozone. When monitoring the microclimate by generally accepted zoohygienic methods, the devices record specific indicators of a particular parameter (temperature, humidity, air velocity, pressure, noise, light), while the reason for the deviation from the standard indicators for microclimate optimization is not always possible to find out. When using the infrared scanning method with the Irtis 2000SN thermal imager, it was possible to determine the reasons for the deviation of the parameters of the winter hive microclimate. The targeted elimination of defects in the enclosing structures detected by infrared scanning made it possible to quickly optimize the parameters of the winter hive microclimate. Contactless monitoring of the state of bee colonies during the winter dormancy. This early informative diagnosis without stress allows to identify a problem bee colony and take timely rescue measures. The analysis of the wintering results showed that the proportion of successful wintering in 2019 was 90%, which is 20% more than in 2018 and 30% more than in 2017.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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