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Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high‐throughput plant phenotyping
Hyperspectral vegetation indices (VIs) are widely deployed in agriculture remote sensing and plant phenotyping to estimate plant biophysical and biochemical traits. However, existing VIs consist mainly of simple two‐band indices that limit the net performance and often do not generalise well for tra...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305872/ https://www.ncbi.nlm.nih.gov/pubmed/34997968 http://dx.doi.org/10.1111/nph.17947 |