A patch-based approach to 3D plant shoot phenotyping
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1328298
- Type
- D - Journal article
- DOI
-
10.1007/s00138-016-0756-8
- Title of journal
- Machine Vision and Applications
- Article number
- -
- First page
- 767
- Volume
- 27
- Issue
- 5
- ISSN
- 0932-8092
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- 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
-
4
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- 3D modelling of crop canopies is important in understanding the role that plant structure plays in the photosynthesis process, which drives successful growth and ultimately higher yields. Previous work derived approximate volumetric shape models, or simple plant measurements. In contrast, this paper outlines an approach that was the first to provide accurate surface reconstructions as planar patches. This has allowed researchers to successfully examine the role of light distribution in plant canopies, and has led to numerous interdisciplinary papers, for example: https://doi.org/10.3389/fpls.2016.01392
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
