Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2157256
- Type
- D - Journal article
- DOI
-
10.1111/tpj.13472
- Title of journal
- Plant Journal
- Article number
- -
- First page
- 204
- Volume
- 90
- Issue
- 1
- ISSN
- 0960-7412
- Open access status
- Technical exception
- Month of publication
- January
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
http://phenotiki.com/
- 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
-
3
- Research group(s)
-
-
- Citation count
- 33
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The software proposed in this paper has been downloaded over 120 times. This paper laid the foundation for a body of subsequent work in plant image analysis that was used as the underpinning for a recent grant application in collaboration with the University of Edinburgh to the Bioinformatics and Biological Resources Funds (BBSRC 2020) currently under review. (£1.2M)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -