archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems

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archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems. / Delory, Benjamin; Li, Mao; Topp, Christopher et al.
in: Faculty of 1000 Research, Jahrgang 7, Nr. 22, 22, 08.01.2018.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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@article{5953ffa1a9104c7cbe9f9585b2327971,
title = "archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems",
abstract = "Quantifying plant morphology is a very challenging task that requires methods able to capture the geometry and topology of plant organs at various spatial scales. Recently, the use of persistent homology as a mathematical framework to quantify plant morphology has been successfully demonstrated for leaves, shoots, and root systems. In this paper, we present a new data analysis pipeline implemented in the R package archiDART to analyse root system architectures using persistent homology. In addition, we also show that both geometric and topological descriptors are necessary to accurately compare root systems and assess their natural complexity. ",
keywords = "Ecosystems Research, archiDart, plant root systems, topology, persistent homology, Fitter indices, Data Analysis of Root Tracings (DART), Root System Markup Language (RSML)",
author = "Benjamin Delory and Mao Li and Christopher Topp and Guillaume Lobet",
note = "Publisher Copyright: {\textcopyright} 2018 Delory BM et al.",
year = "2018",
month = jan,
day = "8",
doi = "10.12688/f1000research.13541.1",
language = "English",
volume = "7",
journal = "Faculty of 1000 Research",
issn = "2046-1402",
publisher = "Faculty of 1000",
number = "22",

}

RIS

TY - JOUR

T1 - archiDART v3.0

T2 - A new data analysis pipeline allowing the topological analysis of plant root systems

AU - Delory, Benjamin

AU - Li, Mao

AU - Topp, Christopher

AU - Lobet, Guillaume

N1 - Publisher Copyright: © 2018 Delory BM et al.

PY - 2018/1/8

Y1 - 2018/1/8

N2 - Quantifying plant morphology is a very challenging task that requires methods able to capture the geometry and topology of plant organs at various spatial scales. Recently, the use of persistent homology as a mathematical framework to quantify plant morphology has been successfully demonstrated for leaves, shoots, and root systems. In this paper, we present a new data analysis pipeline implemented in the R package archiDART to analyse root system architectures using persistent homology. In addition, we also show that both geometric and topological descriptors are necessary to accurately compare root systems and assess their natural complexity.

AB - Quantifying plant morphology is a very challenging task that requires methods able to capture the geometry and topology of plant organs at various spatial scales. Recently, the use of persistent homology as a mathematical framework to quantify plant morphology has been successfully demonstrated for leaves, shoots, and root systems. In this paper, we present a new data analysis pipeline implemented in the R package archiDART to analyse root system architectures using persistent homology. In addition, we also show that both geometric and topological descriptors are necessary to accurately compare root systems and assess their natural complexity.

KW - Ecosystems Research

KW - archiDart

KW - plant root systems

KW - topology

KW - persistent homology

KW - Fitter indices

KW - Data Analysis of Root Tracings (DART)

KW - Root System Markup Language (RSML)

UR - http://www.scopus.com/inward/record.url?scp=85041458110&partnerID=8YFLogxK

U2 - 10.12688/f1000research.13541.1

DO - 10.12688/f1000research.13541.1

M3 - Journal articles

C2 - 29636899

VL - 7

JO - Faculty of 1000 Research

JF - Faculty of 1000 Research

SN - 2046-1402

IS - 22

M1 - 22

ER -

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