Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
- Submitting institution
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University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 5515007
- Type
- D - Journal article
- DOI
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10.1016/j.isprsjprs.2020.02.013
- Title of journal
- ISPRS Journal of Photogrammetry and Remote Sensing
- Article number
- -
- First page
- 161
- Volume
- 162
- Issue
- -
- ISSN
- 0924-2716
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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-
- 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
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7
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by both Agri-Tech in China: Newton Network UK (LG005) and the National Key Research and Development Program of China (grant 2018YFD0200803), this project boosted collaboration with the Chinese Academy of Agricultural Sciences (CAAS). For the first time, a UAV equipped with hyperspectral imaging system was applied for potato above-ground biomass evaluation and yield forecast. Further support has been received from the Xisen Group Ltd, one of the largest potato producer in China, to continue developing the prediction model for industrial application (contact Dr. Baigeng Hu, hubaigeng@163.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
