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Estimation of paddy rice leaf area index using machine learning methods based on hyperspectral data from multi-year experiments
The performance of three machine learning methods (support vector regression, random forests and artificial neural network) for estimating the LAI of paddy rice was evaluated in this study. Traditional univariate regression models involving narrowband NDVI with optimized band combinations as well as...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281281/ https://www.ncbi.nlm.nih.gov/pubmed/30517144 http://dx.doi.org/10.1371/journal.pone.0207624 |