数字农科院2.0

Comfort temperature assessment for honeybee colonies based on long-term monitoring

文献类型： 外文期刊

作者： Yuntao Lu;Wei Hong;Wei Wu;Jie Zhang;Shijuan Li;Shengping Liu

作者机构：

关键词： Comfort assessment model;Extreme weather;Precision beekeeping

期刊名称： Expert Systems with Applications

ISSN： 0957-4174

年卷期： 2025 年 296 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Bees are the most critical pollinators to ensure human food security, but the increasing of extreme weather seriously threatens their survivals. Although the beehive temperatures are easy to be monitored by the internet of things (IoT) as so far, the comfort temperatures for bee colonies are still unclear that limit the protection during extreme weathers. This study utilizes an IoT system to conduct a long-term monitoring for dozens of bee colonies over two years, analyzing the impact of environmental changes on hive temperature and presenting a novel model for comfort temperature assessment. The study finds that external environmental and seasonal changes significantly affect hive temperature and colony health status. Further, the Changes in nighttime honeycomb weight (CNHW) are recommended as a comfort indicator, and the comfort temperatures are proposed for different seasons at the first time. The validation result showed that maintaining hive temperature within these optimal ranges will benefit for bee colony development. Finally, this study presents a hive temperature evaluation model that provides a robust tool for mitigating the impacts of climate change on bee colony, thereby reducing colony collapse and advancing precision beekeeping.

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