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GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping
Traditional methods for trait phenotyping have been a bottleneck for research in many crop species due to their intensive labor, high cost, complex implementation, lack of reproducibility and propensity to subjective bias. Recently, multiple high-throughput phenotyping platforms have been developed,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986961/ https://www.ncbi.nlm.nih.gov/pubmed/27529547 http://dx.doi.org/10.1371/journal.pone.0160439 |