Spatio-Temporal Generalization of VIS-NIR-SWIR Spectral Models for Nitrogen Prediction in Sugarcane Leaves
Nitrogen fertilization is a challenging task that usually requires intensive use of resources, such as fertilizers, management and water. This study explored the potential of VIS-NIR-SWIR remote sensing for quantifying leaf nitrogen content (LNC) in sugarcane from different regions and vegetative st...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2024-11-01
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| Reeks: | Remote Sensing |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2072-4292/16/22/4250 |
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