Lincoln 带标注的时空草莓数据集（LAST-Straw）
Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)
AI总结：
本文发布含两个品种、84个草莓植株3D点云的时空数据集LAST-Straw，并配套分割、骨架化与追踪表型流程及in silico真值评估方法。
摘要：
面向育种和植物研究的植物自动化表型分析，有望以前所未有的观测频率提供关于植物性状的定量指标。然而，用于执行高通量表型分析的工具开发者受到可用于验证的相关数据集可用性的限制。为此，我们提出了一个包含两个品种草莓植株三维点云的时空数据集，共计 84 个独立点云。我们关注此类工具的最终用途——提取具有生物学意义的表型——并在该数据集上演示了一套表型分析流程。该流程包括分割、骨架化和追踪等步骤，我们详细说明了每个阶段如何促进不同表型的提取或提供数据洞见。我们特别指出，评估重点在于对从流程每一步获得的表示中提取的表型进行验证，而不是单一关注对表示本身的评估。因此，在可能的情况下，我们为每一步提取的表型提供 in silico（计算机模拟）真值基线，并引入用于定量评估骨架化及由其提取的长度性状的方法。该数据集丰富了免费可用的农业/园艺时空资料库，以支持下一代表型分析工具的开发，增加了该领域研究可用的植物品种数量，并为新表型分析方法的真正比较提供了基础。
英文摘要：
Automated phenotyping of plants for breeding and plant studies promises to provide quantitative metrics on plant traits at a previously unattainable observation frequency. Developers of tools for performing high-throughput phenotyping are, however, constrained by the availability of relevant datasets on which to perform validation. To this end, we present a spatio-temporal dataset of 3D point clouds of strawberry plants for two varieties, totalling 84 individual point clouds. We focus on the end use of such tools - the extraction of biologically relevant phenotypes - and demonstrate a phenotyping pipeline on the dataset. This comprises of the steps, including; segmentation, skeletonisation and tracking, and we detail how each stage facilitates the extraction of different phenotypes or provision of data insights. We particularly note that assessment is focused on the validation of phenotypes, extracted from the representations acquired at each step of the pipeline, rather than singularly focusing on assessing the representation itself. Therefore, where possible, we provide \textit{in silico} ground truth baselines for the phenotypes extracted at each step and introduce methodology for the quantitative assessment of skeletonisation and the length trait extracted thereof. This dataset contributes to the corpus of freely available agricultural/horticultural spatio-temporal data for the development of next-generation phenotyping tools, increasing the number of plant varieties available for research in this field and providing a basis for genuine comparison of new phenotyping methodology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
