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Cosegmentation for Plant Phenotyping (CosegPP) Data Repository Collected Via a High-Throughput Imaging System

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NIAID Data Ecosystem2026-03-12 收录
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https://zenodo.org/record/5117175
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CosegPP is a data repository that contains four datasets for plant phenotyping. Each dataset contains:  two species physically different for challenging segmentation. 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: Quiñones R, Munoz-Arriola F, Choudhury SD, Samal A (2021) Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping. PLoS ONE 16(9): e0257001. https://doi.org/10.1371/journal.pone.0257001
创建时间:
2021-09-03
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