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A generic intelligent tomato classification system for practical applications using DenseNet-201 with transfer learning
A generic intelligent tomato classification system based on DenseNet-201 with transfer learning was proposed and the augmented training sets obtained by data augmentation methods were employed to train the model. The trained model achieved high classification accuracy on the images of different qual...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338978/ https://www.ncbi.nlm.nih.gov/pubmed/34349161 http://dx.doi.org/10.1038/s41598-021-95218-w |