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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Plant Methods
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2020
Konular:
Methodology
Online Erişim: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
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller