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首页> 外文会议>Autonomous air and ground sensing systems for agricultural optimization and phenotyping II >A Custom, Multi-Modal Sensor Suite and Data Analysis Pipeline for Aerial Field Phenotyping
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A Custom, Multi-Modal Sensor Suite and Data Analysis Pipeline for Aerial Field Phenotyping

机译：定制的多模态传感器套件和数据分析管道，用于航空场分型

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摘要

Our group has developed a custom, multi-modal sensor suite and data analysis pipeline to phenotype crops in the field using unpiloted aircraft systems (UAS). This approach to high-throughput field phenotyping is part of a research initiative intending to markedly accelerate the breeding process for refined energy sorghum varieties. To date, single rotor and multi-rotor helicopters, roughly 14 kg in total weight, are being employed to provide sensor coverage over multiple hectare-sized fields in tens of minutes. The quick, autonomous operations allow for complete field coverage at consistent plant and lighting conditions, with low operating costs. The sensor suite collects data simultaneously from six sensors and registers it for fusion and analysis. High resolution color imagery targets color and geometric phenotypes, along with lidar measurements. Long-wave infrared imagery targets temperature phenomena and plant stress. Hyperspectral visible and near-infrared imagery targets phenotypes such as biomass and chlorophyll content, as well as novel, predictive spectral signatures. Onboard spectrometers and careful laboratory and in-field calibration techniques aim to increase the physical validity of the sensor data throughout and across growing seasons. Off-line processing of data creates basic products such as image maps and digital elevation models. Derived data products include phenotype charts, statistics, and trends. The outcome of this work is a set of commercially available phenotyping technologies, including sensor suites, a fully integrated phenotyping UAS, and data analysis software. Effort is also underway to transition these technologies to farm management users by way of streamlined, lower cost sensor packages and intuitive software interfaces.
机译：我们的小组开发了定制的多模式传感器套件和数据分析管道，以使用无人驾驶飞机系统（UAS）在田间对农作物进行表型分析。这种高通量田间表型分析方法是一项研究计划的一部分，旨在显着加快精制能源高粱品种的育种过程。迄今为止，总重量约为14千克的单旋翼直升机和多旋翼直升机被用来在数十分钟内覆盖多个公顷大小的田地。快速，自主的操作可在一致的工厂和照明条件下实现完整的现场覆盖，且运营成本低。传感器套件可同时从六个传感器收集数据并将其注册以进行融合和分析。高分辨率彩色图像以激光雷达测量为目标，以颜色和几何表型为目标。长波红外图像针对温度现象和植物胁迫。高光谱可见光和近红外图像的目标是表型，例如生物量和叶绿素含量，以及新颖的预测光谱特征。车载光谱仪以及仔细的实验​​室和现场校准技术旨在提高整个生长季节以及整个生长季节传感器数据的物理有效性。数据的离线处理可创建基本产品，例如图像地图和数字高程模型。衍生数据产品包括表型图，统计数据和趋势。这项工作的结果是一套商业上可用的表型技术，包括传感器套件，完全集成的表型UAS和数据分析软件。通过简化的低成本传感器包和直观的软件界面，也正在努力将这些技术过渡到农场管理用户。

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