Estimation of Korla Fragrant Pear Leaf Water Content Using Near-Infrared Spectroscopy Combined with Machine Learning
In modern agricultural production, accurately estimating the leaf water content (LWC) of Korla fragrant pear is crucial for achieving scientific irrigation and ensuring fruit quality. However, constructing accurate and effective LWC prediction models remains challenging due to limitations in sample...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2025-03-01
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| Colección: | Agronomy |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2073-4395/15/4/876 |
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