Bee colony strength and temperature data

Auditing to assess strength of European honey bee (Apis mellifera Linnaeus, 1758) colonies is critical for apiarists to manage colony health, and to meet conditions for pollination contracts. Colony strength assessments typically use either frame-by-frame inspection or a frame-top cluster-count method typically used during almond pollination servicing in Australia. These methods are invasive (with a risk of colony thermal disruption), visual, and subjective.

We investigated the potential use of temperature sensors to improve auditing data. Custom-built temperature sensor arrays were used to measure hive temperature through time and horizontal space within hives in an experimental apiary in Queensland, Australia. Temperature data were compared against colony strength determined by cluster count audit (Number of Frames, NOF).

This data set contains the raw temperature data and the bee colony strength data.

对评估欧洲蜜蜂（Apis mellifera Linnaeus, 1758）群体强度进行审计对于养蜂人来说是至关重要的，这不仅关乎于群体健康的管理，还关乎于满足授粉合同的各项条件。群体强度评估通常采用逐框检查或澳大利亚杏仁授粉服务期间常用的框顶集群计数法。这些方法具有侵入性（存在群体热能破坏的风险），依赖于视觉判断，且主观性较强。

本研究探讨了使用温度传感器来优化审计数据的潜力。在澳大利亚昆士兰州的一个实验性养蜂场中，我们使用了定制的温度传感器阵列来测量蜂箱内随时间和水平空间变化的温度。温度数据与通过集群计数审计（框数，NOF）确定的群体强度进行了比较。

本数据集包含了原始温度数据和蜜蜂群体强度数据。