Hyperspectral Prediction Models of Chlorophyll Content in <i>Paulownia</i> Leaves under Drought Stress
This study explored the quantitative inversion of the chlorophyll content in <i>Paulownia</i> seedling leaves under drought stress and analyzed the factors influencing the chlorophyll content from multiple perspectives to obtain the optimal model. <i>Paulownia</i> seedlings were selected as the expe...
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| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2024-09-01
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| Серии: | Sensors |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/1424-8220/24/19/6309 |
| Метки: |
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