System design for inferring colony-level pollination activity through miniature bee-mounted sensors.
System design for inferring colony-level pollination activity through miniature bee-mounted sensors.
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DOI：
10.1038/s41598-021-82537-1
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发表时间：
2021-02-19
影响因子：
4.6
通讯作者：
Petersen KH
中科院分区：
文献类型：
--
作者：
Abdel-Raziq HM;Palmer DM;Koenig PA;Molnar AC;Petersen KH
在数字农业中，大规模的数据采集和分析可以通过允许种植者不断监控田地的状态来改善农场管理。然而，部署大型自主机器人团队来导航和监控混乱的环境是困难和昂贵的。在这里，我们提出的方法，将使我们能够利用管理的殖民地的蜜蜂配备了微型飞行记录仪，以监测果园授粉活动。跟踪蜜蜂飞行可以为作物授粉的估计提供信息，使种植者能够提高产量和资源分配。蜜蜂善于操纵复杂的环境，并通过每天数千次的飞行集体收集有关花蜜和花粉来源的信息。此外，在许多作物开花之前和开花期间，果园中存在菌落，因为种植者经常租用蜂箱以确保成功授粉。我们现有的角度敏感像素（ASP）用于飞行记录器和计算内存和分辨率的权衡。我们进一步整合ASP数据到一个殖民地觅食模拟器，并显示如何大量的航班完善系统的准确性，使用机器人映射文献的方法。我们的研究结果表明，这种农业监测具有很大的潜力，我们利用社会昆虫的优势来感知物理世界，同时提供与明确设计的系统相当的数据采集。
In digital agriculture, large-scale data acquisition and analysis can improve farm management by allowing growers to constantly monitor the state of a field. Deploying large autonomous robot teams to navigate and monitor cluttered environments, however, is difficult and costly. Here, we present methods that would allow us to leverage managed colonies of honey bees equipped with miniature flight recorders to monitor orchard pollination activity. Tracking honey bee flights can inform estimates of crop pollination, allowing growers to improve yield and resource allocation. Honey bees are adept at maneuvering complex environments and collectively pool information about nectar and pollen sources through thousands of daily flights. Additionally, colonies are present in orchards before and during bloom for many crops, as growers often rent hives to ensure successful pollination. We characterize existing Angle-Sensitive Pixels (ASPs) for use in flight recorders and calculate memory and resolution trade-offs. We further integrate ASP data into a colony foraging simulator and show how large numbers of flights refine system accuracy, using methods from robotic mapping literature. Our results indicate promising potential for such agricultural monitoring, where we leverage the superiority of social insects to sense the physical world, while providing data acquisition on par with explicitly engineered systems.
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影响因子：
1.9
作者：
Hoffman, David S.;Nehrir, Amin R.;Carlsten, John L.
通讯作者：
Carlsten, John L.
蜜蜂监测的低成本电子标记系统。
DOI：
10.3390/s18072124
发表时间：
2018-07-02
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
de Souza P;Marendy P;Barbosa K;Budi S;Hirsch P;Nikolic N;Gunthorpe T;Pessin G;Davie A
通讯作者：
Davie A
影响因子：
5.2
作者：
Beekman, M;Sumpter, DJT;Ratnieks, FLW
通讯作者：
Ratnieks, FLW
影响因子：
56.9
作者：
Henry, Mickael;Beguin, Maxime;Decourtye, Axel
通讯作者：
Decourtye, Axel
影响因子：
--
作者：
Khan, M. R.;Khan, M. R.
通讯作者：
Khan, M. R.