Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2150657
- Type
- D - Journal article
- DOI
-
10.1111/tpj.14064
- Title of journal
- Plant Journal
- Article number
- -
- First page
- 880
- Volume
- 96
- Issue
- 4
- ISSN
- 0960-7412
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://bitbucket.org/tuttoweb/pheno-deep-counter/src/master/
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 26
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper underpins a recently submitted grant application (£1.2M) for the Bioinformatics and Biological Resources Funds (BBSRC 2020) in collaboration with the University of Edinburgh. This application is currently under review.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -