Hyperspectral Imaging for Phenotyping Plant Drought Stress and Nitrogen Interactions Using Multivariate Modeling and Machine Learning Techniques in Wheat

Accurate detection of drought stress in plants is essential for water use efficiency and agricultural output. Hyperspectral imaging (HSI) provides a non-invasive method in plant phenotyping, allowing the long-term monitoring of plant health due to sensitivity to subtle changes in leaf constituents....

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Detalhes bibliográficos

Principais autores:	Frank Gyan Okyere, Daniel Kingsley Cudjoe, Nicolas Virlet, March Castle, Andrew Bernard Riche, Latifa Greche, Fady Mohareb, Daniel Simms, Manal Mhada, Malcolm John Hawkesford
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-09-01
coleção:	Remote Sensing
Assuntos:	drought stress gas exchange measurements hyperspectral imaging machine learning vegetation indices
Acesso em linha:	https://www.mdpi.com/2072-4292/16/18/3446
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