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

Authors: Quiñones, Rubi; Samal, Ashok; Das Choudhury, Sruti; Munoz-Arriola, Francisco;

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

Abstract

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

This material is based upon work supported by the National Science Foundation under Grant No. DGE-1735362. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Also, the authors acknowledge the support provided by the Agriculture and Food Research Initiative Grant number NEB-21-176 and NEB-21-166 from the USDA National Institute of Food and Agriculture, Plant Health and Production and Plant Products: Plant Breeding for Agricultural Production.

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