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Hyperspectral time series datasets of maize during the grain filling period
OBJECTIVES: Remotely sensed hyperspectral data are increasingly being used to assess crop development and growth throughout the growing season. Large datasets capturing key growth stages can be useful to researchers studying many physiological plant responses. A time series analysis of hyperspectral...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052440/ https://www.ncbi.nlm.nih.gov/pubmed/35488318 http://dx.doi.org/10.1186/s13104-022-06029-9 |