Soil total nitrogen inversion and interpretability analysis using vis-NIR spectroscopy and transfer learning
The use of Vis-NIR Spectroscopy for soil component inversion has increased, driven by its advantages in non-destructive, large-scale monitoring. However, it often faces challenges in model generalization. Transfer learning, leveraging large existing soil sample datasets, is considered an effective s...
Tallennettuna:
| Päätekijät: | , , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Taylor & Francis Group
2025-08-01
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| Sarja: | International Journal of Digital Earth |
| Aiheet: | |
| Linkit: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2528621 |
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