Analysis of temperature characteristics for overwintering bee colonies based on long-term monitoring data

文献类型： 外文期刊

第一作者： Li, Luhua

作者： Li, Luhua;Zhu, Yeping;Liu, Shengping;Lu, Chuanqi;Hong, Wei;Lu, Yuntao;Wang, Ying;Xu, Baohua;Hong, Wei

作者机构：

关键词： Multi -sensors; Smart hive; Collapse; Correlation

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：6.757； 五年影响因子：6.817 ）

ISSN： 0168-1699

年卷期： 2022 年 198 卷

页码：

收录情况： SCI

摘要： Honey Bees are very important to ecological environment and human society. However, the collapse of bee colonies in winter has frequently occurred in recent years, so condition monitoring of bee colonies is vital to maintain bee colonies health. Considering that the temperature has the strongest ability of recognizing the status of bee colonies, this paper uses a multi-sensor system to investigate the long-term air temperature inside beehives for overwintering bee colonies. Firstly, different from other studies in which it is usually a single temperature observation or a small number of samples and a short observation time, the multi-sensor monitoring system is adopted to carry out a continuous experiment for more than 30 Italian bee colonies. The experiment time covers two complete overwintering periods. Subsequently, considering the impact of different time scales on the monitoring of bee colony status, the long-term (several months) data analysis is based on the daily average data, while the short-term (typical weeks) data analysis is performed on the hourly data. Finally, the correlation between air temperature and other monitoring parameters (entrance counts, humidity, sound) was computed. The results demonstrate that the air temperature change inside the beehive has an evident regularity during the overwintering period, such as the fixed temperature threshold for the outdoor activities of bees, periodic fluctuation by the hour and the smallest temperature difference between inside and outside. These findings will enable the assessment of the health state of overwintering bee colonies by use of temperature-derived indicators.

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