Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw) Article Swipe
Katherine James
,
Karoline Heiwolt
,
Daniel James Sargent
,
Grzegorz Cielniak
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.00566
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.00566
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.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2403.00566
- https://arxiv.org/pdf/2403.00566
- OA Status
- green
- Cited By
- 1
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- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4392427706Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2403.00566Digital Object Identifier
- Title
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Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)Work title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-01Full publication date if available
- Authors
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Katherine James, Karoline Heiwolt, Daniel James Sargent, Grzegorz CielniakList of authors in order
- Landing page
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https://arxiv.org/abs/2403.00566Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2403.00566Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2403.00566Direct OA link when available
- Concepts
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Straw, Cartography, Geography, Biology, AgronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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