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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Библиографические подробности
Опубликовано в: :Plant Methods
Главные авторы: 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
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2020
Предметы:
Methodology
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7079463/
https://ncbi.nlm.nih.gov/pubmed/32206080
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-020-00582-9
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