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

传感器蜂：传感器蜂是用于生态和环境监测的增强型自组织生物杂交体

• 批准号: 10109956
• 金额: $ 90.48万
• 依托单位: DURHAM UNIVERSITY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10109956
• 关键词: SENSORBEES; Sensorbees; ENhanced; Self; ORganizing

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

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。植物授粉不仅对人类农业社会具有重要意义，而且还是食物网的营养基础，支撑着目前在我们目前面临的第六次大规模灭绝中濒临灭绝的所有其他动物营养层。我们将为适合传统蜂箱的蜂巢配备微型机器人系统，该系统可以到达蜂巢上的每个细胞。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结果存储到数据库中，其中包含每个梳状细胞多年来的历史记录。机器人将从短距离拍摄细胞内的雏鸟全尺寸照片，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，支持和支持植物多样性，并保护自身免受有害发展的影响。此外，我们将为蜂巢配备智能花粉捕捉器，能够对蜜蜂带入蜂巢的花粉进行选择性收集和视觉分析。花粉流入以及蜂巢中机器人代理收集的数据将提供有关蜂群健康状况以及蜜蜂觅食区域（即蜂巢周围 5-10 公里）内植物多样性的信息，因此样本面积为 78-314 平方公里。通过寻找蜂巢生长和繁殖成功的异常情况，并比较来自蜂巢入口的数据流、当地天气数据和蜂巢动态，可以对蜂群水平进行健康评估。数据融合将应用于多个菌落，例如找到潜在有问题的喂养地点