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Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods

Sustainable fertilizer management in precision agriculture is essential for both economic and environmental reasons. To effectively manage fertilizer input, various methods are employed to monitor and track plant nutrient status. One such method is hyperspectral imaging, which has been on the rise i...

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Uloženo v:
Hlavní autoři: Frank Gyan Okyere, Daniel Cudjoe, Pouria Sadeghi-Tehran, Nicolas Virlet, Andrew B. Riche, March Castle, Latifa Greche, Daniel Simms, Manal Mhada, Fady Mohareb, Malcolm John Hawkesford
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2023-10-01
Edice:Frontiers in Plant Science
Témata:
convolution neural network
hyperspectral imaging
plant nutrition
machine learning
spectral curves
On-line přístup:https://www.frontiersin.org/articles/10.3389/fpls.2023.1209500/full
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