Spectral-Based Identification of Nutritional Stress in Tomato Seedlings Using Feature Wavelength Selection and Machine Learning

Tomato seedlings are highly sensitive to nutrient deficiencies, and rapid identification of nitrogen (N), phosphorus (P), and potassium (K) stress is essential for precision fertilization. In this study, a novel hierarchical classification framework integrating visible and near-infrared (Vis-NIR) sp...

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Detalhes bibliográficos

Principais autores:	Di Fu, Ying Ji, Xiaolei Wu, Jingrui Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-05-01
coleção:	Agronomy
Assuntos:	tomato seedlings nutritional stress identification visible and near-infrared spectroscopy feature wavelength selection
Acesso em linha:	https://www.mdpi.com/2073-4395/16/11/1061
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