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Detection and characterization of spike architecture based on deep learning and X-ray computed tomography in barley
BACKGROUND: Spike is the grain-bearing organ in cereal crops, which is a key proxy indicator determining the grain yield and quality. Machine learning methods for image analysis of spike-related phenotypic traits not only hold the promise for high-throughput estimating grain production and quality,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604417/ https://www.ncbi.nlm.nih.gov/pubmed/37891590 http://dx.doi.org/10.1186/s13007-023-01096-w |