SENSORBEES: Sensorbees are ENhanced Self-ORganizing Bio-hybrids for Ecological and Environmental Surveillance

SENSORBEES旨在使用蜂群作为传感器网络来跟踪一组重要但采样不足的生态状态变量：1）周围地区的授粉服务水平和2）开花植物的多样性水平。植物的授粉不仅对人类社会的农业有重要意义，而且它也是食物网的营养基础，这些食物网支持着我们目前面临的第六次大灭绝中濒临灭绝的所有其他动物的营养层。我们将在一个普通蜂巢中安装一个微型机器人系统，它可以接触到蜂巢上的每一个细胞。因此，我们将能够有选择地检查每个细胞的内容，并将其评估存储到一个数据库中，该数据库包含每个蜂巢细胞多年来的历史。机器人将在短距离内以全尺寸拍摄细胞中的育雏，从而测量其大小和健康状况。SENSORBEES将对这些梳状细胞进行特定的操作，以最大限度地提高和确保对环境的授粉服务，促进和支持植物多样性，并保护自己免受有害的发展。此外，我们将为蜂箱配备智能花粉捕捉器，能够选择性地收集和视觉分析蜜蜂带入蜂箱的花粉。花粉流入，沿着由蜂巢中的机器人代理收集的数据将提供关于殖民地的健康以及蜜蜂觅食区域内的植物多样性的信息，即围绕蜂巢5-10公里，因此采样面积为78-314平方公里。在殖民地水平上的健康估计可以通过寻找育雏生长和繁殖成功的异常以及通过比较来自蜂巢入口的数据流、当地天气数据和育雏动态来进行。数据融合将应用于几个群体，例如，定位潜在的有问题的喂养地点

SENSORBEES aims at using honeybee colonies as a sensor network for tracking a set of important but undersampled ecological status variables 1) the level of pollination service in the surrounding region and 2) the level of diversity of blossoming plants. The pollination of plants is not only significant for human society in agriculture but it is also the trophic basis of the food webs that support all the other trophic layers of animals that are currently endangered in the 6th mass extinction that we are currently facing. We will equip a honeycomb that fits into a conventional beehive with a micro-robotic system that can reach every single cell on the comb. Thus, we will be able to inspect the content of each cell selectively and store its assessment into a database, containing the history of each single comb cell over years. The robot will photograph the brood in the cell at full-size from a short distance, allowing its size and health measurement. SENSORBEES will perform specific manipulations on these comb cells, for maximizing and ensuring pollination service to the environment, to favor and support plant diversity, and to defend itself against detrimental developments. Moreover, we will equip the hive with a smart pollen trap capable of selective collection and visual analysis of the pollen brought into the hive by the bees. The pollen influx, along with the data collected by the robotic agents in the hive will provide information about the health of the colony as well as on the diversity of plants within the foraging area of the bees, i.e. 5-10 km around the hive, thus sample areas of 78-314 sq km. Health estimates on the colony level can be made by looking for anomalies in brood growth and breeding success and by comparing the data streams from the hive entrance, local weather data and brood dynamics. Data fusion will be applied to several colonies to e.g. locate potential problematic feeding sites