Julius Kühn-Institut, Federal Research Centre of Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, Germany.
Fraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Sandtorstr. 22, 39108 Magdeburg, Germany.
Sensors (Basel). 2017 Jul 14;17(7):1625. doi: 10.3390/s17071625.
In grapevine research the acquisition of phenotypic data is largely restricted to the field due to its perennial nature and size. The methodologies used to assess morphological traits and phenology are mainly limited to visual scoring. Some measurements for biotic and abiotic stress, as well as for quality assessments, are done by invasive measures. The new evolving sensor technologies provide the opportunity to perform non-destructive evaluations of phenotypic traits using different field phenotyping platforms. One of the biggest technical challenges for field phenotyping of grapevines are the varying light conditions and the background. In the present study the Phenoliner is presented, which represents a novel type of a robust field phenotyping platform. The vehicle is based on a grape harvester following the concept of a moveable tunnel. The tunnel it is equipped with different sensor systems (RGB and NIR camera system, hyperspectral camera, RTK-GPS, orientation sensor) and an artificial broadband light source. It is independent from external light conditions and in combination with artificial background, the Phenoliner enables standardised acquisition of high-quality, geo-referenced sensor data.
在葡萄研究中，由于其多年生和大型的特性，表型数据的获取在很大程度上仅限于野外。用于评估形态特征和物候的方法主要限于视觉评分。一些生物和非生物胁迫以及质量评估的测量，都是通过侵入性的方法进行的。新兴的传感器技术为使用不同的田间表型平台对表型特征进行非破坏性评估提供了机会。葡萄田间表型的最大技术挑战之一是多变的光照条件和背景。在本研究中，介绍了 Phenoliner，它代表了一种新型的坚固的田间表型平台。该车辆基于一种葡萄收割机，采用可移动隧道的概念。隧道配备了不同的传感器系统（RGB 和近红外相机系统、高光谱相机、RTK-GPS、方向传感器）和人工宽带光源。它不受外部光照条件的影响，并结合人工背景，Phenoliner 能够实现高质量、地理参考传感器数据的标准化采集。
