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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2026-05-01
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| Schriftenreihe: | Agronomy |
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| Online-Zugang: | https://www.mdpi.com/2073-4395/16/11/1061 |
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