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Deep learning-based high-throughput phenotyping can drive future discoveries in plant reproductive biology
Advances in deep learning are providing a powerful set of image analysis tools that are readily accessible for high-throughput phenotyping applications in plant reproductive biology. High-throughput phenotyping systems are becoming critical for answering biological questions on a large scale. These...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128740/ https://www.ncbi.nlm.nih.gov/pubmed/33725183 http://dx.doi.org/10.1007/s00497-021-00407-2 |