Unidimensional Phenotypes using Concurrent Imaging Collected Via a High-Throughput Imaging System

Single-Dimension Modality Imagery Dataset (SIMID) and the Single-Dimension Perspective Imagery Dataset (SIPID) are dataset repositories used to compute Single-Aspect Phenotypes. SAPP has 28 samples and SAPM has 12 samples. Each dataset contains: Two species physically different. Buckwheat is a thin plant with a variety sizes of leaves and Sunflower is a bushy plant that contains flowering; the most commonly used induced environments in plant phenotyping such as a control and drought-induced; a temporal resolution that begins with the plants vegetative stage and ends with the plant fully matured; modalities (infrared, visible, near infrared) that are commonly used in plant phenotyping analysis; and multiple perspectives that are becoming widely acquired in plant phenotyping analysis due to its potential for three dimensional analysis. We thank Vincent Stoeger for acquiring the dataset using LemnaTec at the University of Nebraska-Lincoln. If you use this dataset, please cite this paper:单模态影像数据集（Single-Dimension Modality Imagery Dataset, SIMID）与单视角影像数据集（Single-Dimension Perspective Imagery Dataset, SIPID）是用于计算单性状表型的数据集库。其中SAPP包含28个样本，SAPM包含12个样本。各数据集均包含以下内容： 1. 两种物理特征迥异的物种：荞麦为株型纤细、叶形多样的植物，向日葵则为具开花结构的丛生型植株； 2. 植物表型分析中常用的诱导环境类型，包括对照环境与干旱诱导环境； 3. 覆盖植物营养生长期至植株完全成熟阶段的时间分辨率序列； 4. 植物表型分析中常用的成像模态：红外、可见光与近红外； 5. 因具备三维分析潜力而在植物表型分析中被广泛采用的多视角拍摄方案。 我们感谢Vincent Stoeger在林肯内布拉斯加大学使用LemnaTec设备完成本数据集的采集工作。 若您使用本数据集，请引用本文献：