Low-cost 3D systems: suitable tools for plant phenotyping.
Low-cost 3D systems: suitable tools for plant phenotyping.
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DOI：
10.3390/s140203001
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发表时间：
2014-02-14
期刊：
影响因子：
--
通讯作者：
Kuhlmann H
中科院分区：
文献类型：
--
作者：
Paulus S;Behmann J;Mahlein AK;Plümer L;Kuhlmann H
在过去的几年中，植物几何形状的3D成像对于表型分析和植物育种已经变得非常重要。几种传感技术，如从多个图像和激光扫描的3D重建，是在不同的研究项目的选择方法。使用RGB相机进行3D重建需要大量的后处理，而在这种情况下，激光扫描需要巨大的投资成本。本研究的目的是比较两个当前的3D成像低成本系统和高精度近距离激光扫描仪作为参考方法。作为低成本系统，使用了大卫激光扫描系统和微软Kinect设备。基于测试样本的偏差估计了两种低成本传感器的3D测量精度。从甜菜主根的体积形状、甜菜的叶片和小麦穗的形状提取的参数进行了评价。将这些参数的准确度和相关性与参考测量值进行比较。评价方案是根据目前表型分析项目中记录的植物参数选择的。在本研究中，低成本的3D成像设备已被证明是高度可靠的植物表型的需求，有可能在自动化应用程序中实现，同时节省采购成本。我们的研究证实，精心挑选的低成本传感器能够在许多植物表型分析场景中取代昂贵的激光扫描仪。
Over the last few years, 3D imaging of plant geometry has become of significant importance for phenotyping and plant breeding. Several sensing techniques, like 3D reconstruction from multiple images and laser scanning, are the methods of choice in different research projects. The use of RGBcameras for 3D reconstruction requires a significant amount of post-processing, whereas in this context, laser scanning needs huge investment costs. The aim of the present study is a comparison between two current 3D imaging low-cost systems and a high precision close-up laser scanner as a reference method. As low-cost systems, the David laser scanning system and the Microsoft Kinect Device were used. The 3D measuring accuracy of both low-cost sensors was estimated based on the deviations of test specimens. Parameters extracted from the volumetric shape of sugar beet taproots, the leaves of sugar beets and the shape of wheat ears were evaluated. These parameters are compared regarding accuracy and correlation to reference measurements. The evaluation scenarios were chosen with respect to recorded plant parameters in current phenotyping projects. In the present study, low-cost 3D imaging devices have been shown to be highly reliable for the demands of plant phenotyping, with the potential to be implemented in automated application procedures, while saving acquisition costs. Our study confirms that a carefully selected low-cost sensor is able to replace an expensive laser scanner in many plant phenotyping scenarios.
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DOI：
10.1051/agro:19970602
发表时间：
1997-07-01
期刊：
AGRONOMIE
影响因子：
--
作者：
Andrieu, B;Allirand, JM;Jaggard, K
通讯作者：
Jaggard, K
影响因子：
8.3
作者：
Cai, X.;Sun, Y.;Tang, Y.
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Tang, Y.
DOI：
10.3390/s120201437
发表时间：
2012
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Khoshelham K;Elberink SO
通讯作者：
Elberink SO
影响因子：
8.3
作者：
Chene, Yann;Rousseau, David;Chapeau-Blondeau, Francois
通讯作者：
Chapeau-Blondeau, Francois
DOI：
10.1109/34.121791
发表时间：
1992-02-01
影响因子：
23.6
作者：
BESL, PJ;MCKAY, ND
通讯作者：
MCKAY, ND