SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

BACKGROUND: High throughput non-destructive phenotyping is emerging as a significant approach for phenotyping germplasm and breeding populations for the identification of superior donors, elite lines, and QTLs. Detection and counting of spikes, the grain bearing organs of wheat, is critical for phen...

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Detalles Bibliográficos
Autores principales: Misra, Tanuj, Arora, Alka, Marwaha, Sudeep, Chinnusamy, Viswanathan, Rao, Atmakuri Ramakrishna, Jain, Rajni, Sahoo, Rabi Narayan, Ray, Mrinmoy, Kumar, Sudhir, Raju, Dhandapani, Jha, Ranjeet Ranjan, Nigam, Aditya, Goel, Swati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079463/
https://www.ncbi.nlm.nih.gov/pubmed/32206080
http://dx.doi.org/10.1186/s13007-020-00582-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079463/
https://www.ncbi.nlm.nih.gov/pubmed/32206080
http://dx.doi.org/10.1186/s13007-020-00582-9

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