Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 855020
- Type
- D - Journal article
- DOI
-
10.1186/s13007-019-0389-9
- Title of journal
- Plant Methods
- Article number
- 4
- First page
- -
- Volume
- 15
- Issue
- -
- ISSN
- 1746-4811
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
-
https://doi.org/10.1186/s13007-019-0389-9
- 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
- No
- Number of additional authors
-
9
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This was a collaborative project with the University of Manchester, funded by BBSRC (BB/N02107X/1), to develop a low-cost hand-held tool for revealing 3D hyperspectral agri-data from 2D Images. The project resulted in a commercial product - FOTENIX (https://fotenix.tech/) that uses backscattered reflectance and morphological information across the VIS-NIR region to identify crop disease symptoms and nutrient deficiency in the field.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
