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High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning
BACKGROUND: Effective soybean seed phenotyping demands large-scale accurate quantities of morphological parameters. The traditional manual acquisition of soybean seed morphological phenotype information is error-prone, and time-consuming, which is not feasible for large-scale collection. The segment...
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| Publicado no: | Plant Methods |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8097802/ https://ncbi.nlm.nih.gov/pubmed/33952294 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-021-00749-y |
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