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Modeling the spatial-spectral characteristics of plants for..:

Okyere, Frank Gyan ; Cudjoe, Daniel ; Sadeghi-Tehran, Pouria...
Okyere FG, Cudjoe D, Sedaghi-Tehran P, et al., (2023) Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods. Frontiers in Plant Science, Volume 14, October 2023, Article number 1209500. , 2023

Link: https://doi.org/10.3389/fpls.2023.1209500

RT Journal
T1 <Title>Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftcranfield:oai:dspace.lib.cranfield.ac.uk:1826_20414&Exemplar=1&LAN=DE
				
A1 Okyere, Frank Gyan
A1 Cudjoe, Daniel
A1 Sadeghi-Tehran, Pouria
A1 Virlet, Nicolas
A1 Riche, Andrew B
A1 Castle, March
A1 Greche, Latifa
A1 Simms, Daniel M
A1 Mhada, Manal
A1 Mohareb, Fady
A1 Hawkesford, Malcolm John
PB Frontiers
YR 2023
K1 Convolution Neural Network
K1 hyperspectral imaging
K1 Plant Nutrition
K1 machine learning
K1 Spectral curves
JF Okyere FG, Cudjoe D, Sedaghi-Tehran P, et al., (2023) Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods. Frontiers in Plant Science, Volume 14, October 2023, Article number 1209500
LK http://dx.doi.org/https://doi.org/10.3389/fpls.2023.1209500
DO https://doi.org/10.3389/fpls.2023.1209500
SF ELIB - SuUB Bremen

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