Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)
Katherine Margaret Frances James, Karoline Heiwolt, Daniel James, Sargent, Grzegorz Cielniak

TL;DR
This paper introduces LAST-Straw, a comprehensive 3D spatio-temporal strawberry dataset with a phenotyping pipeline, enabling validation and comparison of plant trait extraction methods for high-throughput phenotyping.
Contribution
It provides a novel annotated strawberry dataset and a detailed phenotyping pipeline, including validation methods, to advance plant phenotyping research.
Findings
Dataset includes 84 3D point clouds of strawberry plants.
Pipeline enables segmentation, skeletonisation, and tracking of plant traits.
Provides ground truth baselines for phenotype validation.
Abstract
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…
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Taxonomy
TopicsSpecies Distribution and Climate Change · Horticultural and Viticultural Research · Animal and Plant Science Education
MethodsFocus
