Assessing the fine root growth dynamics of Norway spruce manipulated by air humidity and soil nitrogen with deep learning segmentation of smartphone images

Purpose Measuring continuous root growth with less time- and resource-intensive methods is challenging for plant ecologists. We propose an approach where photos of fine root growth were taken with smartphones and analyzed by the deep learning method-based program RootPainter. Methods Picea abies sap...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Sell, Marili [verfasserIn]

Smith, Abraham George

Burdun, Iuliia

Rohula-Okunev, Gristin

Kupper, Priit

Ostonen, Ivika

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2022

Schlagwörter:

Deep learning

AI

RootPainter

Fine roots

Climate change

Anmerkung:

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022

Übergeordnetes Werk:

Enthalten in: Plant and soil - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948, 480(2022), 1-2 vom: 25. Juni, Seite 135-150

Übergeordnetes Werk:

volume:480 ; year:2022 ; number:1-2 ; day:25 ; month:06 ; pages:135-150

Links:

Volltext

DOI / URN:

10.1007/s11104-022-05565-4

Katalog-ID:

SPR048744824

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