Optical structure modeling of plants for testing optical sensor technology in their near field

用于在近场测试光学传感器技术的植物光学结构建模

• 批准号: 516682649
• 负责人: Professor Dr.-Ing. Tran Quoc Khanh
• 金额: --
• 依托单位: Fachgebiet für Adaptive Lichttechnische Systeme und Visuelle Verarbeitung
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/516682649?language=en
• 关键词: Optical; structure; modeling; plants; testing

To improve the light simulation in the near field of crop plants, their optical modeling is required. For this simulation, model building is done in two parts: (1) creation of a structural model of the plants (2) creation of an optical model of the plant components. Gaps in the literature have so far been found mainly in light simulation in the near field of crop plants; in particular, very little is known about the accuracy of such simulations. Optical properties of trees and arable crops have already been studied - but not those of crops typically grown under shelter. The present research project will create an optical structure model of young cucumber plants, which will subsequently be used as an example for virtual testing of optical sensor technology. The field of application of virtual plants is thus extended - from the systematic use of virtual plants for a better understanding of plant physiological relationships to the use of virtual plants to virtually test sensor technology and to virtually analyze relationships between metrics and plant properties. Phenotyping represents an exemplary application area here. A sensor response of certain traits can be simulated in advance - without this type having to exist in real life. To the knowledge of the applicant, this approach has not yet been implemented. This project can only be realized by an exact spectral characterization of the optical elements, which is why the acquisition of these data takes up a large part of the research project. In addition to the engineering sciences, which are the main focus of this research project, those disciplines that generally deal with virtual plants will benefit in particular. Here, the data situation is significantly improved by the targeted modeling of a model plant, the publication of the model and the associated data.

为了提高作物近场光场模拟的精度，需要对作物近场光场进行建模。对于该模拟，模型构建分两部分进行：（1）创建植物的结构模型（2）创建植物组件的光学模型。到目前为止，文献中的空白主要是在作物近场的光模拟中发现的;特别是，对这种模拟的准确性知之甚少。树木和可耕地作物的光学特性已经被研究过了，但通常在遮蔽下生长的作物的光学特性还没有被研究过。本研究计划将建立黄瓜幼苗的光学结构模型，随后将其用作光学传感器技术虚拟测试的示例。因此，虚拟植物的应用领域得到了扩展-从系统地使用虚拟植物以更好地理解植物生理关系到使用虚拟植物来虚拟地测试传感器技术以及虚拟地分析度量和植物属性之间的关系。表型分析在此代表了示例性应用领域。某些特性的传感器响应可以预先模拟-而这种类型不必存在于真实的生活中。据申请方所知，这一办法尚未实施。该项目只能通过光学元件的精确光谱表征来实现，这就是为什么这些数据的获取占据了研究项目的很大一部分。除了工程科学，这是该研究项目的主要重点，那些通常处理虚拟植物的学科将特别受益。在这里，通过对模型工厂进行有针对性的建模、发布模型和相关数据，数据状况得到了显著改善。