DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis

BACKGROUND: High-throughput phenotyping based on non-destructive imaging has great potential in plant biology and breeding programs. However, efficient feature extraction and quantification from image data remains a bottleneck that needs to be addressed. Advances in sensor technology have led to the...

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Detalles Bibliográficos
Autores principales: Hamidinekoo, Azam, Garzón-Martínez, Gina A, Ghahremani, Morteza, Corke, Fiona M K, Zwiggelaar, Reyer, Doonan, John H, Lu, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055469/
https://www.ncbi.nlm.nih.gov/pubmed/32129846
http://dx.doi.org/10.1093/gigascience/giaa012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055469/
https://www.ncbi.nlm.nih.gov/pubmed/32129846
http://dx.doi.org/10.1093/gigascience/giaa012

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