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Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
Generally, sunflower seeds are classified by machine vision-based methods in production, which include using photoelectric sensors to identify light-sensitive signals through traditional algorithms for which the equipment cost is relatively high and using neural network image recognition methods to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674848/ https://www.ncbi.nlm.nih.gov/pubmed/36400872 http://dx.doi.org/10.1038/s41598-022-23869-4 |