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

SENSORBEES旨在利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；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意义重大，而且也是食物网的营养基础，它支持着所有其他营养层的动物，这些动物目前正面临着第六次大灭绝。我们将为一个适合传统蜂巢的蜂巢配备一个微型机器人系统，它可以到达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，并将其评估存储到数据库中，该数据库包含每个单个梳子细胞多年来的历史。该机器人将在近距离拍摄蜂房内全尺寸的雏鸟，从而测量雏鸟的大小和健康状况。SENSORBEES将对这些蜂窝细胞进行特定的操作，以最大限度地确保对环境的授粉服务，有利于和支持植物多样性，并保护自己免受有害发展的影响。此外，我们将为蜂箱配备一个智能花粉陷阱，能够选择性收集和可视化分析蜜蜂带入蜂箱的花粉。花粉涌入,以及机器人代理在蜂房里收集的数据将提供信息的健康殖民地以及植物的多样性在觅食的蜜蜂,即5 - 10公里的蜂巢,因此样本地区78 - 314平方公里。卫生估计在群体层面上可以通过寻找异常窝生长和繁殖成功,通过比较数据流从蜂巢入口,当地的气象数据和育动力学。数据融合将应用于几个菌落，例如定位潜在的有问题的喂食地点

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