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CONSTRUCTING A THREE-DIMENSIONAL RESOURCE DATABASE OF PLANTS USING MEASURED IN SITU MORPHOLOGICAL DATA

机译:使用原位形态数据测量的植物的三维资源数据库

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3D modeling of plants forms the basis of functional-structural plant modeling (FSPM) and digital plant research, and also plays an important role in research on plant phenotypes and germplasm resource protection. To provide high fidelity 3D models with complete agronomic information for research and applications, this study constructed a 3D visual database of plants. First, measured in situ morphological data that included 3D digital data, 3D point clouds, and texture mapping images were acquired for different precision requirements. To set unified access rules for the database, a standard for the morphological data acquisition of plants was proposed. This data acquisition standard directs how 3D digital data, 3D point clouds, and texture imaging features of organs and plants are acquired. It also specifies the agronomic information that must be collected to guarantee the completeness of the morphological data record, such as the plant cultivar, growth period, planting density, water, and fertilizer treatment. Next, geometric models of plants and organs were generated using parametric plant modeling methods and geometric modeling based on point clouds using the acquired data. Finally, a plant 3D resource database was constructed by selecting those plant resources that contained two classes of database keywords: agronomy attribute keywords and 3D attribute keywords. The database contains a large number of plant models of different species, cultivars, and multiple growth periods with agronomic parameters and a high level of detail. The creation of such a database promotes the role of digital plant records in agricultural research and production.
机译:植物的3D建模形成功能性结构植物建模(FSPM)和数字植物研究的基础,并在植物表型和种质资源保护的研究中发挥着重要作用。为研究和应用的完整农艺信息提供高保真3D模型,这项研究构建了植物的3D视觉数据库。首先,以不同的精度要求获取包括3D数字数据,3D点云和纹理映射图像的原位形态数据。为了设置数据库的统一访问规则,提出了一种用于植物的形态学数据的标准。该数据采集标准指示如何获取3D数字数据,3D点云和纹理成像特征。它还规定了必须收集的农艺信息,以保证形态数据记录的完整性,例如植物品种,生长期,种植密度,水和肥料处理。接下来,使用参数型工厂建模方法和基于Point云使用所获取的数据的几何建模生成植物和器官的几何模型。最后,通过选择包含两类数据库关键字的工厂资源来构建植物3D资源数据库:农艺属性关键字和3D属性关键字。该数据库包含大量不同物种,品种和多个生长期的植物模型,具有农艺参数和高水平的细节。这种数据库的创建促进了数字工厂记录在农业研究和生产中的作用。

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