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Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network
Variety identification of seeds is critical for assessing variety purity and ensuring crop yield. In this paper, a novel method based on hyperspectral imaging (HSI) and deep convolutional neural network (DCNN) was proposed to discriminate the varieties of oat seeds. The representation ability of DCN...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society of Chemistry
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063646/ https://www.ncbi.nlm.nih.gov/pubmed/35515879 http://dx.doi.org/10.1039/c8ra10335f |