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Uses of selection strategies in both spectral and sample spaces for classifying hard and soft blueberry using near infrared data
In the current work, we attempt to leverage the fewer wavelengths and samples to develop a classification model for classifying hard and soft blueberries using near infrared (NIR) data. To do this, random frog selection and active learning approaches are used in the spectral space and the sample que...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923227/ https://www.ncbi.nlm.nih.gov/pubmed/29703949 http://dx.doi.org/10.1038/s41598-018-25055-x |