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A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer
Leaf-level hyperspectral reflectance has become an effective tool for high-throughput phenotyping of plant leaf traits due to its rapid, low-cost, multi-sensing, and non-destructive nature. However, collecting samples for model calibration can still be expensive, and models show poor transferability...
Autores principales: | Wijewardane, Nuwan K, Zhang, Huichun, Yang, Jinliang, Schnable, James C, Schachtman, Daniel P, Ge, Yufeng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400152/ https://www.ncbi.nlm.nih.gov/pubmed/37018460 http://dx.doi.org/10.1093/jxb/erad129 |
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