KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/44697
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tanuj Mishra | en_US |
dc.contributor.author | Alka Arora | en_US |
dc.contributor.author | Sudeep Marwaha | en_US |
dc.contributor.author | Viswanathan Chinnusamy | en_US |
dc.contributor.author | A.R. Rao | en_US |
dc.contributor.author | Rajni Jain | en_US |
dc.contributor.author | Rabi Narayan Sahoo | en_US |
dc.contributor.author | Mrinmoy Ray | en_US |
dc.contributor.author | Sudhir Kumar | en_US |
dc.contributor.author | Dhandapani Raju | en_US |
dc.contributor.author | Ranjeet Ranjan Jha | en_US |
dc.contributor.author | Aditya Nigam | en_US |
dc.contributor.author | Swati Goel | en_US |
dc.date.accessioned | 2021-01-12T09:34:08Z | - |
dc.date.available | 2021-01-12T09:34:08Z | - |
dc.date.issued | 2020-01-01 | - |
dc.identifier.citation | Misra, T., Arora, A., Marwaha, S. et al. SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging. Plant Methods 16, 40 (2020). https://doi.org/10.1186/s13007-020-00582-9 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/44697 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Not Available | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Deep learning | en_US |
dc.subject | Encoder-decoder deep network | en_US |
dc.subject | Image analysis | en_US |
dc.subject | Non-destructive plant phenotyping | en_US |
dc.subject | Wheat spikes identification and count | en_US |
dc.title | SpikeSegNet‑a deep learning approach utilizing encoder‑decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Plant Methods | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | 16-40 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.1186/s13007-020-00582-9 | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::National Institute of Agricultural Economics and Policy Research | en_US |
dc.publication.authorAffiliation | Indian Institute of Technology, Mandi, Himachal Pradesh, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | Not Available | - |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SpikeSegNet Paper.pdf | 1.9 MB | Adobe PDF | View/Open |
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