Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: A comparison of machine learning tools and feature selection approaches

Early detection of drought stress is essential for preventing permanent plant damage and minimizing yield loss. This study utilized hyperspectral imaging at the leaf level to visualize drought stress in safflower plants (Carthamus tinctorius L.). Three safflower genotypes, Palenus, A82, and IL-111,...

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Detalhes bibliográficos

Principais autores:	Fatemeh Salek, Seyed Ahmad Mireei, Abbas Hemmat, Mehrnoosh Jafari, Mohammad R. Sabzalian, Majid Nazeri, Wouter Saeys
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-12-01
coleção:	Plant Stress
Assuntos:	Crop yield K-means clustering Partial least squares discriminant analysis (PLS-DA) Pixel-wise classification Soft independent modeling of class analogy (SIMCA)
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2667064X24003063
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