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http://krishi.icar.gov.in/jspui/handle/123456789/44697| Title: | SpikeSegNet‑a deep learning approach utilizing encoder‑decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging |
| Other Titles: | Not Available |
| Authors: | Tanuj Mishra Alka Arora Sudeep Marwaha Viswanathan Chinnusamy A.R. Rao Rajni Jain Rabi Narayan Sahoo Mrinmoy Ray Sudhir Kumar Dhandapani Raju Ranjeet Ranjan Jha Aditya Nigam Swati Goel |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute ICAR::Indian Agricultural Research Institute ICAR::National Institute of Agricultural Economics and Policy Research Indian Institute of Technology, Mandi, Himachal Pradesh, India |
| Published/ Complete Date: | 2020-01-01 |
| Project Code: | Not Available |
| Keywords: | Deep learning Encoder-decoder deep network Image analysis Non-destructive plant phenotyping Wheat spikes identification and count |
| Publisher: | Springer |
| 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 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Not Available |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Plant Methods |
| NAAS Rating: | Not Available |
| Volume No.: | Not Available |
| Page Number: | 16-40 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | https://doi.org/10.1186/s13007-020-00582-9 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/44697 |
| 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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