Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich, Leo-Brandt-Straße, 52425 Jülich, Germany.
Curr Opin Biotechnol. 2012 Apr;23(2):227-35. doi: 10.1016/j.copbio.2011.12.010. Epub 2012 Jan 16.
Noninvasive imaging sensors and computer vision approaches are key technologies to quantify plant structure, physiological status, and performance. Today, imaging sensors exploit a wide range of the electromagnetic spectrum, and they can be deployed to measure a growing number of traits, also in heterogenic environments. Recent advances include the possibility to acquire high-resolution spectra by imaging spectroscopy and classify signatures that might be informative of plant development, nutrition, health, and disease. Three-dimensional (3D) reconstruction of surfaces and volume is of particular interest, enabling functional and mechanistic analyses. While taking pictures is relatively easy, quantitative interpretation often remains challenging and requires integrating knowledge of sensor physics, image analysis, and complex traits characterizing plant phenotypes.
非侵入式成像传感器和计算机视觉方法是量化植物结构、生理状态和性能的关键技术。如今,成像传感器利用了广泛的电磁光谱,并且可以部署来测量越来越多的特征,即使在异质环境中也是如此。最近的进展包括通过成像光谱学获取高分辨率光谱并对可能反映植物发育、营养、健康和疾病的特征进行分类的可能性。表面和体积的三维(3D)重建特别有趣,能够进行功能和机械分析。虽然拍照相对容易,但定量解释往往仍然具有挑战性,需要整合传感器物理、图像分析和描述植物表型的复杂特征的知识。